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<title>Task Scheduling Mechanism for Crowdsourcing in?Mobile?Social Networks</title>
<link>https://pythonbangalore.com/task-scheduling-mechanism-for-crowdsourcing-in-mobile-social-networks</link>
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<title>TypeFly Low Latency Drone Planning With Large Language Models</title>
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<media:keywords>TypeFly Low Latency Drone Planning With Large Language Models</media:keywords>
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<title>Toward Open World Aware User Authentication Based on Human Bodies Using mmWave Signals</title>
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<media:keywords>Toward Open World Aware User Authentication Based on Human Bodies Using mmWave Signals</media:keywords>
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<title>An Efficient Frame Aggregation Scheme for Relay Aided Internet of Things Networks With Age of Information Constraints</title>
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<media:keywords>An Efficient Frame Aggregation Scheme for Relay Aided Internet of Things Networks With Age of Information Constraints</media:keywords>
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<title>Differential Private Data Stream Analytics in the Local and Shuffle Models</title>
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<media:keywords>Differential Private Data Stream Analytics in the Local and Shuffle Models</media:keywords>
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<title>WebARNav?Mobile?Web AR Indoor Navigation With Edge Assisted Vision Localization</title>
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<media:keywords>WebARNav?Mobile?Web AR Indoor Navigation With Edge Assisted Vision Localization</media:keywords>
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<title>Federated Domain Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift</title>
<link>https://pythonbangalore.com/federated-domain-independent-prototype-learning-with-alignments-of-representation-and-parameter-spaces-for-feature-shift</link>
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<media:keywords>Federated Domain Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift</media:keywords>
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<title>E2EC Edge to Edge Collaboration for Efficient Real Time Video Surveillance Inference</title>
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<media:keywords>E2EC Edge to Edge Collaboration for Efficient Real Time Video Surveillance Inference</media:keywords>
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<title>ANNS An Intelligent Advanced Non Convex Non Smooth Scheme for IRS Aided Next Generation?Mobile?Communication Networks</title>
<link>https://pythonbangalore.com/anns-an-intelligent-advanced-non-convex-non-smooth-scheme-for-irs-aided-next-generation-mobile-communication-networks</link>
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<media:keywords>ANNS An Intelligent Advanced Non Convex Non Smooth Scheme for IRS Aided Next Generation?Mobile?Communication Networks</media:keywords>
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<title>A Secondary Nondestructive Detection Method of Liquid Concentration for RFID Tag Array With Mutual Coupling</title>
<link>https://pythonbangalore.com/a-secondary-nondestructive-detection-method-of-liquid-concentration-for-rfid-tag-array-with-mutual-coupling</link>
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<description><![CDATA[ A Secondary Nondestructive Detection Method of Liquid Concentration for RFID Tag Array With Mutual Coupling ]]></description>
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<media:keywords>A Secondary Nondestructive Detection Method of Liquid Concentration for RFID Tag Array With Mutual Coupling</media:keywords>
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<title>A CAV Cooperative Lane Change Protocol With CTH Safety Guarantee on Dedicated Highways</title>
<link>https://pythonbangalore.com/a-cav-cooperative-lane-change-protocol-with-cth-safety-guarantee-on-dedicated-highways</link>
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<description><![CDATA[ A CAV Cooperative Lane Change Protocol With CTH Safety Guarantee on Dedicated Highways ]]></description>
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<media:keywords>A CAV Cooperative Lane Change Protocol With CTH Safety Guarantee on Dedicated Highways</media:keywords>
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<title>Efficient Twin Migration in Vehicular Metaverses Multi Agent Split Deep Reinforcement Learning With Spatio Temporal Trajectory Generation</title>
<link>https://pythonbangalore.com/efficient-twin-migration-in-vehicular-metaverses-multi-agent-split-deep-reinforcement-learning-with-spatio-temporal-trajectory-generation</link>
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<media:keywords>Efficient Twin Migration in Vehicular Metaverses Multi Agent Split Deep Reinforcement Learning With Spatio Temporal Trajectory Generation</media:keywords>
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<title>FedLFP Communication Efficient Personalized Federated Learning on Non IID Data in?Mobile?Edge?Computing?Environments</title>
<link>https://pythonbangalore.com/fedlfp-communication-efficient-personalized-federated-learning-on-non-iid-data-in-mobile-edge-computing-environments</link>
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<media:keywords>FedLFP Communication Efficient Personalized Federated Learning on Non IID Data in?Mobile?Edge?Computing?Environments</media:keywords>
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<title>Toward Real Time Digital Twin of Physical Reality via Intelligent Wireless Resource Allocation</title>
<link>https://pythonbangalore.com/toward-real-time-digital-twin-of-physical-reality-via-intelligent-wireless-resource-allocation</link>
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<dc:creator>admin</dc:creator>
<media:keywords>Toward Real Time Digital Twin of Physical Reality via Intelligent Wireless Resource Allocation</media:keywords>
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<title>Multi User Behavioral Privacy Filtering for mmWave Radar Sensing</title>
<link>https://pythonbangalore.com/multi-user-behavioral-privacy-filtering-for-mmwave-radar-sensing</link>
<guid>https://pythonbangalore.com/multi-user-behavioral-privacy-filtering-for-mmwave-radar-sensing</guid>
<description><![CDATA[ Multi User Behavioral Privacy Filtering for mmWave Radar Sensing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi User Behavioral Privacy Filtering for mmWave Radar Sensing</media:keywords>
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<title>From Earth to Orbit Launch Sequence Optimization for LEO Mega Constellations</title>
<link>https://pythonbangalore.com/from-earth-to-orbit-launch-sequence-optimization-for-leo-mega-constellations</link>
<guid>https://pythonbangalore.com/from-earth-to-orbit-launch-sequence-optimization-for-leo-mega-constellations</guid>
<description><![CDATA[ From Earth to Orbit Launch Sequence Optimization for LEO Mega Constellations ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>From Earth to Orbit Launch Sequence Optimization for LEO Mega Constellations</media:keywords>
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<item>
<title>Cost Efficient FEC Scheme for Time Sensitive Multi Hop Transmissions in Overlay Networks</title>
<link>https://pythonbangalore.com/cost-efficient-fec-scheme-for-time-sensitive-multi-hop-transmissions-in-overlay-networks</link>
<guid>https://pythonbangalore.com/cost-efficient-fec-scheme-for-time-sensitive-multi-hop-transmissions-in-overlay-networks</guid>
<description><![CDATA[ Cost Efficient FEC Scheme for Time Sensitive Multi Hop Transmissions in Overlay Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Cost Efficient FEC Scheme for Time Sensitive Multi Hop Transmissions in Overlay Networks</media:keywords>
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<item>
<title>Vision Language Model Empowered Contract Theory for AIGC Task Allocation in Teleoperation</title>
<link>https://pythonbangalore.com/vision-language-model-empowered-contract-theory-for-aigc-task-allocation-in-teleoperation</link>
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<description><![CDATA[ Vision Language Model Empowered Contract Theory for AIGC Task Allocation in Teleoperation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Vision Language Model Empowered Contract Theory for AIGC Task Allocation in Teleoperation</media:keywords>
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<item>
<title>Ubicon BP Towards Ubiquitous, Contactless Blood Pressure Detection Using Smartphone</title>
<link>https://pythonbangalore.com/ubicon-bp-towards-ubiquitous%2C-contactless-blood-pressure-detection-using-smartphone</link>
<guid>https://pythonbangalore.com/ubicon-bp-towards-ubiquitous%2C-contactless-blood-pressure-detection-using-smartphone</guid>
<description><![CDATA[ Ubicon BP Towards Ubiquitous, Contactless Blood Pressure Detection Using Smartphone ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Ubicon BP Towards Ubiquitous, Contactless Blood Pressure Detection Using Smartphone</media:keywords>
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<item>
<title>A Joint Secure Mechanism of Multi Task Learning for a UAV Team Under FDI Attacks</title>
<link>https://pythonbangalore.com/a-joint-secure-mechanism-of-multi-task-learning-for-a-uav-team-under-fdi-attacks</link>
<guid>https://pythonbangalore.com/a-joint-secure-mechanism-of-multi-task-learning-for-a-uav-team-under-fdi-attacks</guid>
<description><![CDATA[ A Joint Secure Mechanism of Multi Task Learning for a UAV Team Under FDI Attacks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Joint Secure Mechanism of Multi Task Learning for a UAV Team Under FDI Attacks</media:keywords>
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<item>
<title>A Four Year Retrospective of?Mobile?Access Bandwidth Evolution The Inspiring, the Frustrating, and the Fluctuating</title>
<link>https://pythonbangalore.com/a-four-year-retrospective-of-mobile-access-bandwidth-evolution-the-inspiring%2C-the-frustrating%2C-and-the-fluctuating</link>
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<description><![CDATA[ A Four Year Retrospective of?Mobile?Access Bandwidth Evolution The Inspiring, the Frustrating, and the Fluctuating ]]></description>
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<media:keywords>A Four Year Retrospective of?Mobile?Access Bandwidth Evolution The Inspiring, the Frustrating, and the Fluctuating</media:keywords>
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<item>
<title>An Optimal Reverse Affine Maximizer Auction Mechanism for Task Allocation in?Mobile?Crowdsensing</title>
<link>https://pythonbangalore.com/an-optimal-reverse-affine-maximizer-auction-mechanism-for-task-allocation-in-mobile-crowdsensing</link>
<guid>https://pythonbangalore.com/an-optimal-reverse-affine-maximizer-auction-mechanism-for-task-allocation-in-mobile-crowdsensing</guid>
<description><![CDATA[ An Optimal Reverse Affine Maximizer Auction Mechanism for Task Allocation in?Mobile?Crowdsensing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An Optimal Reverse Affine Maximizer Auction Mechanism for Task Allocation in?Mobile?Crowdsensing</media:keywords>
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<item>
<title>Detecting and Characterising?Mobile?App Metamorphosis in Google Play Store</title>
<link>https://pythonbangalore.com/detecting-and-characterising-mobile-app-metamorphosis-in-google-play-store</link>
<guid>https://pythonbangalore.com/detecting-and-characterising-mobile-app-metamorphosis-in-google-play-store</guid>
<description><![CDATA[ Detecting and Characterising?Mobile?App Metamorphosis in Google Play Store ]]></description>
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<dc:creator>admin</dc:creator>
<media:keywords>Detecting and Characterising?Mobile?App Metamorphosis in Google Play Store</media:keywords>
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<item>
<title>Joint RIS and Beamforming Design for Secure and Energy Efficient Two Way Relay Communications</title>
<link>https://pythonbangalore.com/joint-ris-and-beamforming-design-for-secure-and-energy-efficient-two-way-relay-communications</link>
<guid>https://pythonbangalore.com/joint-ris-and-beamforming-design-for-secure-and-energy-efficient-two-way-relay-communications</guid>
<description><![CDATA[ Joint RIS and Beamforming Design for Secure and Energy Efficient Two Way Relay Communications ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Joint RIS and Beamforming Design for Secure and Energy Efficient Two Way Relay Communications</media:keywords>
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<item>
<title>CHAR Composite Head Body Activities Recognition With a Single Earable Device</title>
<link>https://pythonbangalore.com/char-composite-head-body-activities-recognition-with-a-single-earable-device</link>
<guid>https://pythonbangalore.com/char-composite-head-body-activities-recognition-with-a-single-earable-device</guid>
<description><![CDATA[ CHAR Composite Head Body Activities Recognition With a Single Earable Device ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>CHAR Composite Head Body Activities Recognition With a Single Earable Device</media:keywords>
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<item>
<title>Joint Optimization for IRS Assisted Self Powered IoT in 5G mmWave Networks</title>
<link>https://pythonbangalore.com/joint-optimization-for-irs-assisted-self-powered-iot-in-5g-mmwave-networks</link>
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<description><![CDATA[ Joint Optimization for IRS Assisted Self Powered IoT in 5G mmWave Networks ]]></description>
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<dc:creator>admin</dc:creator>
<media:keywords>Joint Optimization for IRS Assisted Self Powered IoT in 5G mmWave Networks</media:keywords>
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<item>
<title>FuseGrasp Radar Camera Fusion for Robotic Grasping of Transparent Objects</title>
<link>https://pythonbangalore.com/fusegrasp-radar-camera-fusion-for-robotic-grasping-of-transparent-objects</link>
<guid>https://pythonbangalore.com/fusegrasp-radar-camera-fusion-for-robotic-grasping-of-transparent-objects</guid>
<description><![CDATA[ FuseGrasp Radar Camera Fusion for Robotic Grasping of Transparent Objects ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>FuseGrasp Radar Camera Fusion for Robotic Grasping of Transparent Objects</media:keywords>
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<item>
<title>Real Time Abnormal Address Detection for?Mobile?Devices in Location Based Services</title>
<link>https://pythonbangalore.com/real-time-abnormal-address-detection-for-mobile-devices-in-location-based-services</link>
<guid>https://pythonbangalore.com/real-time-abnormal-address-detection-for-mobile-devices-in-location-based-services</guid>
<description><![CDATA[ Real Time Abnormal Address Detection for?Mobile?Devices in Location Based Services ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Real Time Abnormal Address Detection for?Mobile?Devices in Location Based Services</media:keywords>
</item>

<item>
<title>Joint Design of Power Allocation and Beamforming for IRS Assisted Millimeter Wave Communication System With Imperfect CSI</title>
<link>https://pythonbangalore.com/joint-design-of-power-allocation-and-beamforming-for-irs-assisted-millimeter-wave-communication-system-with-imperfect-csi</link>
<guid>https://pythonbangalore.com/joint-design-of-power-allocation-and-beamforming-for-irs-assisted-millimeter-wave-communication-system-with-imperfect-csi</guid>
<description><![CDATA[ Joint Design of Power Allocation and Beamforming for IRS Assisted Millimeter Wave Communication System With Imperfect CSI ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Joint Design of Power Allocation and Beamforming for IRS Assisted Millimeter Wave Communication System With Imperfect CSI</media:keywords>
</item>

<item>
<title>Partial Offloading Strategy Based on Deep Reinforcement Learning in the Internet of Vehicles</title>
<link>https://pythonbangalore.com/partial-offloading-strategy-based-on-deep-reinforcement-learning-in-the-internet-of-vehicles</link>
<guid>https://pythonbangalore.com/partial-offloading-strategy-based-on-deep-reinforcement-learning-in-the-internet-of-vehicles</guid>
<description><![CDATA[ Partial Offloading Strategy Based on Deep Reinforcement Learning in the Internet of Vehicles ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Partial Offloading Strategy Based on Deep Reinforcement Learning in the Internet of Vehicles</media:keywords>
</item>

<item>
<title>ReflexGest Recognizing Hand Gestures Under VLC Capable Lamps</title>
<link>https://pythonbangalore.com/reflexgest-recognizing-hand-gestures-under-vlc-capable-lamps</link>
<guid>https://pythonbangalore.com/reflexgest-recognizing-hand-gestures-under-vlc-capable-lamps</guid>
<description><![CDATA[ ReflexGest Recognizing Hand Gestures Under VLC Capable Lamps ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>ReflexGest Recognizing Hand Gestures Under VLC Capable Lamps</media:keywords>
</item>

<item>
<title>Topology Compressed Data Delivery in Large Scale Heterogeneous Satellite Networks An Age Driven Spatial Temporal Graph Neural Network Approach</title>
<link>https://pythonbangalore.com/topology-compressed-data-delivery-in-large-scale-heterogeneous-satellite-networks-an-age-driven-spatial-temporal-graph-neural-network-approach</link>
<guid>https://pythonbangalore.com/topology-compressed-data-delivery-in-large-scale-heterogeneous-satellite-networks-an-age-driven-spatial-temporal-graph-neural-network-approach</guid>
<description><![CDATA[ Topology Compressed Data Delivery in Large Scale Heterogeneous Satellite Networks An Age Driven Spatial Temporal Graph Neural Network Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Topology Compressed Data Delivery in Large Scale Heterogeneous Satellite Networks An Age Driven Spatial Temporal Graph Neural Network Approach</media:keywords>
</item>

<item>
<title>DT RSSI Digital Twin Replica of Sensing Statistics for IRA in Intelligent NG HetNetIs</title>
<link>https://pythonbangalore.com/dt-rssi-digital-twin-replica-of-sensing-statistics-for-ira-in-intelligent-ng-hetnetis</link>
<guid>https://pythonbangalore.com/dt-rssi-digital-twin-replica-of-sensing-statistics-for-ira-in-intelligent-ng-hetnetis</guid>
<description><![CDATA[ DT RSSI Digital Twin Replica of Sensing Statistics for IRA in Intelligent NG HetNetIs ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>DT RSSI Digital Twin Replica of Sensing Statistics for IRA in Intelligent NG HetNetIs</media:keywords>
</item>

<item>
<title>ALANINE A Novel Decentralized Personalized Federated Learning for Heterogeneous LEO Satellite Constellation</title>
<link>https://pythonbangalore.com/alanine-a-novel-decentralized-personalized-federated-learning-for-heterogeneous-leo-satellite-constellation</link>
<guid>https://pythonbangalore.com/alanine-a-novel-decentralized-personalized-federated-learning-for-heterogeneous-leo-satellite-constellation</guid>
<description><![CDATA[ ALANINE A Novel Decentralized Personalized Federated Learning for Heterogeneous LEO Satellite Constellation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>ALANINE A Novel Decentralized Personalized Federated Learning for Heterogeneous LEO Satellite Constellation</media:keywords>
</item>

<item>
<title>Robust Motion Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition</title>
<link>https://pythonbangalore.com/robust-motion-guided-frame-sampler-with-interpretive-evaluation-for-video-action-recognition</link>
<guid>https://pythonbangalore.com/robust-motion-guided-frame-sampler-with-interpretive-evaluation-for-video-action-recognition</guid>
<description><![CDATA[ Robust Motion Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Robust Motion Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition</media:keywords>
</item>

<item>
<title>An Efficient Two Stage Networking Topology Design for Mega Constellation of Low Earth Orbit Satellites</title>
<link>https://pythonbangalore.com/an-efficient-two-stage-networking-topology-design-for-mega-constellation-of-low-earth-orbit-satellites</link>
<guid>https://pythonbangalore.com/an-efficient-two-stage-networking-topology-design-for-mega-constellation-of-low-earth-orbit-satellites</guid>
<description><![CDATA[ An Efficient Two Stage Networking Topology Design for Mega Constellation of Low Earth Orbit Satellites ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An Efficient Two Stage Networking Topology Design for Mega Constellation of Low Earth Orbit Satellites</media:keywords>
</item>

<item>
<title>Robust and Effort Efficient Image Based Indoor Localization With Generative Features</title>
<link>https://pythonbangalore.com/robust-and-effort-efficient-image-based-indoor-localization-with-generative-features</link>
<guid>https://pythonbangalore.com/robust-and-effort-efficient-image-based-indoor-localization-with-generative-features</guid>
<description><![CDATA[ Robust and Effort Efficient Image Based Indoor Localization With Generative Features ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Robust and Effort Efficient Image Based Indoor Localization With Generative Features</media:keywords>
</item>

<item>
<title>Optimizing Federated Semantic Learning in Distributed AIGC Enabled Human Digital Twins A Multi Criteria and Multi Shard User Selection Framework</title>
<link>https://pythonbangalore.com/optimizing-federated-semantic-learning-in-distributed-aigc-enabled-human-digital-twins-a-multi-criteria-and-multi-shard-user-selection-framework</link>
<guid>https://pythonbangalore.com/optimizing-federated-semantic-learning-in-distributed-aigc-enabled-human-digital-twins-a-multi-criteria-and-multi-shard-user-selection-framework</guid>
<description><![CDATA[ Optimizing Federated Semantic Learning in Distributed AIGC Enabled Human Digital Twins A Multi Criteria and Multi Shard User Selection Framework ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Optimizing Federated Semantic Learning in Distributed AIGC Enabled Human Digital Twins A Multi Criteria and Multi Shard User Selection Framework</media:keywords>
</item>

<item>
<title>UCMM Unsupervised Convolutional Networks for Accurate and Efficient Map Matching With?Mobile?Cellular Data</title>
<link>https://pythonbangalore.com/ucmm-unsupervised-convolutional-networks-for-accurate-and-efficient-map-matching-with-mobile-cellular-data</link>
<guid>https://pythonbangalore.com/ucmm-unsupervised-convolutional-networks-for-accurate-and-efficient-map-matching-with-mobile-cellular-data</guid>
<description><![CDATA[ UCMM Unsupervised Convolutional Networks for Accurate and Efficient Map Matching With?Mobile?Cellular Data ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>UCMM Unsupervised Convolutional Networks for Accurate and Efficient Map Matching With?Mobile?Cellular Data</media:keywords>
</item>

<item>
<title>Coordinating Communication and?Computing?for Wireless VR in Open Radio Access Networks</title>
<link>https://pythonbangalore.com/coordinating-communication-and-computing-for-wireless-vr-in-open-radio-access-networks</link>
<guid>https://pythonbangalore.com/coordinating-communication-and-computing-for-wireless-vr-in-open-radio-access-networks</guid>
<description><![CDATA[ Coordinating Communication and?Computing?for Wireless VR in Open Radio Access Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Coordinating Communication and?Computing?for Wireless VR in Open Radio Access Networks</media:keywords>
</item>

<item>
<title>Multi Dimensional Training Optimization for Efficient Federated Synergy Learning</title>
<link>https://pythonbangalore.com/multi-dimensional-training-optimization-for-efficient-federated-synergy-learning</link>
<guid>https://pythonbangalore.com/multi-dimensional-training-optimization-for-efficient-federated-synergy-learning</guid>
<description><![CDATA[ Multi Dimensional Training Optimization for Efficient Federated Synergy Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi Dimensional Training Optimization for Efficient Federated Synergy Learning</media:keywords>
</item>

<item>
<title>Aeacus QUIC Powered Low Latency and Strong Consistency Name Resolution in 5G</title>
<link>https://pythonbangalore.com/aeacus-quic-powered-low-latency-and-strong-consistency-name-resolution-in-5g</link>
<guid>https://pythonbangalore.com/aeacus-quic-powered-low-latency-and-strong-consistency-name-resolution-in-5g</guid>
<description><![CDATA[ Aeacus QUIC Powered Low Latency and Strong Consistency Name Resolution in 5G ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Aeacus QUIC Powered Low Latency and Strong Consistency Name Resolution in 5G</media:keywords>
</item>

<item>
<title>Joint Frame Drop and Object Detection Task Offloading for?Mobile?Devices via RL With Lyapunov Optimization</title>
<link>https://pythonbangalore.com/joint-frame-drop-and-object-detection-task-offloading-for-mobile-devices-via-rl-with-lyapunov-optimization</link>
<guid>https://pythonbangalore.com/joint-frame-drop-and-object-detection-task-offloading-for-mobile-devices-via-rl-with-lyapunov-optimization</guid>
<description><![CDATA[ Joint Frame Drop and Object Detection Task Offloading for?Mobile?Devices via RL With Lyapunov Optimization ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Joint Frame Drop and Object Detection Task Offloading for?Mobile?Devices via RL With Lyapunov Optimization</media:keywords>
</item>

<item>
<title>Real Time Distributed Charging Station Recommendation for Electric Vehicles A Federated Meta RL Approach</title>
<link>https://pythonbangalore.com/real-time-distributed-charging-station-recommendation-for-electric-vehicles-a-federated-meta-rl-approach</link>
<guid>https://pythonbangalore.com/real-time-distributed-charging-station-recommendation-for-electric-vehicles-a-federated-meta-rl-approach</guid>
<description><![CDATA[ Real Time Distributed Charging Station Recommendation for Electric Vehicles A Federated Meta RL Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Real Time Distributed Charging Station Recommendation for Electric Vehicles A Federated Meta RL Approach</media:keywords>
</item>

<item>
<title>Dual Fine Grained Authentication Without Trusted Authority for Data Collection in TDT Systems</title>
<link>https://pythonbangalore.com/dual-fine-grained-authentication-without-trusted-authority-for-data-collection-in-tdt-systems</link>
<guid>https://pythonbangalore.com/dual-fine-grained-authentication-without-trusted-authority-for-data-collection-in-tdt-systems</guid>
<description><![CDATA[ Dual Fine Grained Authentication Without Trusted Authority for Data Collection in TDT Systems ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dual Fine Grained Authentication Without Trusted Authority for Data Collection in TDT Systems</media:keywords>
</item>

<item>
<title>Burst Sensitive Traffic Forecast via Multi Property Personalized Fusion in Federated Learning</title>
<link>https://pythonbangalore.com/burst-sensitive-traffic-forecast-via-multi-property-personalized-fusion-in-federated-learning</link>
<guid>https://pythonbangalore.com/burst-sensitive-traffic-forecast-via-multi-property-personalized-fusion-in-federated-learning</guid>
<description><![CDATA[ Burst Sensitive Traffic Forecast via Multi Property Personalized Fusion in Federated Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Burst Sensitive Traffic Forecast via Multi Property Personalized Fusion in Federated Learning</media:keywords>
</item>

<item>
<title>Aerial Reliable Collaborative Communications for Terrestrial?Mobile?Users via Evolutionary Multi Objective Deep Reinforcement Learning</title>
<link>https://pythonbangalore.com/aerial-reliable-collaborative-communications-for-terrestrial-mobile-users-via-evolutionary-multi-objective-deep-reinforcement-learning</link>
<guid>https://pythonbangalore.com/aerial-reliable-collaborative-communications-for-terrestrial-mobile-users-via-evolutionary-multi-objective-deep-reinforcement-learning</guid>
<description><![CDATA[ Aerial Reliable Collaborative Communications for Terrestrial?Mobile?Users via Evolutionary Multi Objective Deep Reinforcement Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Aerial Reliable Collaborative Communications for Terrestrial?Mobile?Users via Evolutionary Multi Objective Deep Reinforcement Learning</media:keywords>
</item>

<item>
<title>Predicting?Mobile?App Usage With Context Aware Dynamic Hypergraphs</title>
<link>https://pythonbangalore.com/predicting-mobile-app-usage-with-context-aware-dynamic-hypergraphs</link>
<guid>https://pythonbangalore.com/predicting-mobile-app-usage-with-context-aware-dynamic-hypergraphs</guid>
<description><![CDATA[ Predicting?Mobile?App Usage With Context Aware Dynamic Hypergraphs ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Predicting?Mobile?App Usage With Context Aware Dynamic Hypergraphs</media:keywords>
</item>

<item>
<title>Online Energy and Interference Management for Dynamic Target Tracking With Cellular Connected UAV</title>
<link>https://pythonbangalore.com/online-energy-and-interference-management-for-dynamic-target-tracking-with-cellular-connected-uav</link>
<guid>https://pythonbangalore.com/online-energy-and-interference-management-for-dynamic-target-tracking-with-cellular-connected-uav</guid>
<description><![CDATA[ Online Energy and Interference Management for Dynamic Target Tracking With Cellular Connected UAV ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Online Energy and Interference Management for Dynamic Target Tracking With Cellular Connected UAV</media:keywords>
</item>

<item>
<title>Towards Resilience 5G V2N Efficient and Privacy Preserving Authentication Protocol for Multi Service Access and Handover</title>
<link>https://pythonbangalore.com/towards-resilience-5g-v2n-efficient-and-privacy-preserving-authentication-protocol-for-multi-service-access-and-handover</link>
<guid>https://pythonbangalore.com/towards-resilience-5g-v2n-efficient-and-privacy-preserving-authentication-protocol-for-multi-service-access-and-handover</guid>
<description><![CDATA[ Towards Resilience 5G V2N Efficient and Privacy Preserving Authentication Protocol for Multi Service Access and Handover ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Towards Resilience 5G V2N Efficient and Privacy Preserving Authentication Protocol for Multi Service Access and Handover</media:keywords>
</item>

<item>
<title>Against?Mobile?Collusive Eavesdroppers Cooperative Secure Transmission and Computation in UAV Assisted MEC Networks</title>
<link>https://pythonbangalore.com/against-mobile-collusive-eavesdroppers-cooperative-secure-transmission-and-computation-in-uav-assisted-mec-networks</link>
<guid>https://pythonbangalore.com/against-mobile-collusive-eavesdroppers-cooperative-secure-transmission-and-computation-in-uav-assisted-mec-networks</guid>
<description><![CDATA[ Against?Mobile?Collusive Eavesdroppers Cooperative Secure Transmission and Computation in UAV Assisted MEC Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Against?Mobile?Collusive Eavesdroppers Cooperative Secure Transmission and Computation in UAV Assisted MEC Networks</media:keywords>
</item>

<item>
<title>Successive Interference Cancellation Enabled Timely Status Update in Linear Multi Hop Wireless Networks</title>
<link>https://pythonbangalore.com/successive-interference-cancellation-enabled-timely-status-update-in-linear-multi-hop-wireless-networks</link>
<guid>https://pythonbangalore.com/successive-interference-cancellation-enabled-timely-status-update-in-linear-multi-hop-wireless-networks</guid>
<description><![CDATA[ Successive Interference Cancellation Enabled Timely Status Update in Linear Multi Hop Wireless Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Successive Interference Cancellation Enabled Timely Status Update in Linear Multi Hop Wireless Networks</media:keywords>
</item>

<item>
<title>MC 2PF A Multi Edge Cooperative Universal Framework for Load Prediction With Personalized Federated Deep Learning</title>
<link>https://pythonbangalore.com/mc-2pf-a-multi-edge-cooperative-universal-framework-for-load-prediction-with-personalized-federated-deep-learning</link>
<guid>https://pythonbangalore.com/mc-2pf-a-multi-edge-cooperative-universal-framework-for-load-prediction-with-personalized-federated-deep-learning</guid>
<description><![CDATA[ MC 2PF A Multi Edge Cooperative Universal Framework for Load Prediction With Personalized Federated Deep Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>MC 2PF A Multi Edge Cooperative Universal Framework for Load Prediction With Personalized Federated Deep Learning</media:keywords>
</item>

<item>
<title>Multiple Edge Data Integrity Verification With Multi Vendors and Multi Servers in?Mobile?Edge?Computing</title>
<link>https://pythonbangalore.com/multiple-edge-data-integrity-verification-with-multi-vendors-and-multi-servers-in-mobile-edge-computing</link>
<guid>https://pythonbangalore.com/multiple-edge-data-integrity-verification-with-multi-vendors-and-multi-servers-in-mobile-edge-computing</guid>
<description><![CDATA[ Multiple Edge Data Integrity Verification With Multi Vendors and Multi Servers in?Mobile?Edge?Computing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multiple Edge Data Integrity Verification With Multi Vendors and Multi Servers in?Mobile?Edge?Computing</media:keywords>
</item>

<item>
<title>Energy Efficient AAV Assisted Bidirectional Relaying System for Multi Pair User Devices</title>
<link>https://pythonbangalore.com/energy-efficient-aav-assisted-bidirectional-relaying-system-for-multi-pair-user-devices</link>
<guid>https://pythonbangalore.com/energy-efficient-aav-assisted-bidirectional-relaying-system-for-multi-pair-user-devices</guid>
<description><![CDATA[ Energy Efficient AAV Assisted Bidirectional Relaying System for Multi Pair User Devices ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Energy Efficient AAV Assisted Bidirectional Relaying System for Multi Pair User Devices</media:keywords>
</item>

<item>
<title>Exploring Impacts of Age of Information on Data Accuracy for Wireless Sensing Systems An Information Entropy Perspective</title>
<link>https://pythonbangalore.com/exploring-impacts-of-age-of-information-on-data-accuracy-for-wireless-sensing-systems-an-information-entropy-perspective</link>
<guid>https://pythonbangalore.com/exploring-impacts-of-age-of-information-on-data-accuracy-for-wireless-sensing-systems-an-information-entropy-perspective</guid>
<description><![CDATA[ Exploring Impacts of Age of Information on Data Accuracy for Wireless Sensing Systems An Information Entropy Perspective ]]></description>
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<media:keywords>Exploring Impacts of Age of Information on Data Accuracy for Wireless Sensing Systems An Information Entropy Perspective</media:keywords>
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<item>
<title>Bilateral Pricing for Dynamic Association in Federated Edge Learning</title>
<link>https://pythonbangalore.com/bilateral-pricing-for-dynamic-association-in-federated-edge-learning</link>
<guid>https://pythonbangalore.com/bilateral-pricing-for-dynamic-association-in-federated-edge-learning</guid>
<description><![CDATA[ Bilateral Pricing for Dynamic Association in Federated Edge Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Bilateral Pricing for Dynamic Association in Federated Edge Learning</media:keywords>
</item>

<item>
<title>Can We Enhance the Quality of?Mobile?Crowdsensing Data Without Ground Truth?</title>
<link>https://pythonbangalore.com/can-we-enhance-the-quality-of-mobile-crowdsensing-data-without-ground-truth%3F</link>
<guid>https://pythonbangalore.com/can-we-enhance-the-quality-of-mobile-crowdsensing-data-without-ground-truth%3F</guid>
<description><![CDATA[ Can We Enhance the Quality of?Mobile?Crowdsensing Data Without Ground Truth? ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Can We Enhance the Quality of?Mobile?Crowdsensing Data Without Ground Truth?</media:keywords>
</item>

<item>
<title>Generative Diffusion Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks</title>
<link>https://pythonbangalore.com/generative-diffusion-based-contract-design-for-efficient-ai-twin-migration-in-vehicular-embodied-ai-networks</link>
<guid>https://pythonbangalore.com/generative-diffusion-based-contract-design-for-efficient-ai-twin-migration-in-vehicular-embodied-ai-networks</guid>
<description><![CDATA[ Generative Diffusion Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Generative Diffusion Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks</media:keywords>
</item>

<item>
<title>Bi DeepViT Binarized Transformer for Efficient Sensor Based Human Activity Recognition</title>
<link>https://pythonbangalore.com/bi-deepvit-binarized-transformer-for-efficient-sensor-based-human-activity-recognition</link>
<guid>https://pythonbangalore.com/bi-deepvit-binarized-transformer-for-efficient-sensor-based-human-activity-recognition</guid>
<description><![CDATA[ Bi DeepViT Binarized Transformer for Efficient Sensor Based Human Activity Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Bi DeepViT Binarized Transformer for Efficient Sensor Based Human Activity Recognition</media:keywords>
</item>

<item>
<title>A Security Enhanced Ultra Lightweight and Anonymous User Authentication Protocol for Telehealthcare Information Systems</title>
<link>https://pythonbangalore.com/a-security-enhanced-ultra-lightweight-and-anonymous-user-authentication-protocol-for-telehealthcare-information-systems</link>
<guid>https://pythonbangalore.com/a-security-enhanced-ultra-lightweight-and-anonymous-user-authentication-protocol-for-telehealthcare-information-systems</guid>
<description><![CDATA[ A Security Enhanced Ultra Lightweight and Anonymous User Authentication Protocol for Telehealthcare Information Systems ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>A Security Enhanced Ultra Lightweight and Anonymous User Authentication Protocol for Telehealthcare Information Systems</media:keywords>
</item>

<item>
<title>Reliability Optimal UAV Assisted?Mobile?Edge?Computing Joint Resource Allocation, Data Transmission Scheduling and Motion Control</title>
<link>https://pythonbangalore.com/reliability-optimal-uav-assisted-mobile-edge-computing-joint-resource-allocation%2C-data-transmission-scheduling-and-motion-control</link>
<guid>https://pythonbangalore.com/reliability-optimal-uav-assisted-mobile-edge-computing-joint-resource-allocation%2C-data-transmission-scheduling-and-motion-control</guid>
<description><![CDATA[ Reliability Optimal UAV Assisted?Mobile?Edge?Computing Joint Resource Allocation, Data Transmission Scheduling and Motion Control ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Reliability Optimal UAV Assisted?Mobile?Edge?Computing Joint Resource Allocation, Data Transmission Scheduling and Motion Control</media:keywords>
</item>

<item>
<title>mmFruit A Contactless and Non Destructive Approach for Fine Grained Fruit Moisture Sensing Using Millimeter Wave Technology</title>
<link>https://pythonbangalore.com/mmfruit-a-contactless-and-non-destructive-approach-for-fine-grained-fruit-moisture-sensing-using-millimeter-wave-technology</link>
<guid>https://pythonbangalore.com/mmfruit-a-contactless-and-non-destructive-approach-for-fine-grained-fruit-moisture-sensing-using-millimeter-wave-technology</guid>
<description><![CDATA[ mmFruit A Contactless and Non Destructive Approach for Fine Grained Fruit Moisture Sensing Using Millimeter Wave Technology ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>mmFruit A Contactless and Non Destructive Approach for Fine Grained Fruit Moisture Sensing Using Millimeter Wave Technology</media:keywords>
</item>

<item>
<title>EdgeLLM Fast On Device LLM Inference With Speculative Decoding</title>
<link>https://pythonbangalore.com/edgellm-fast-on-device-llm-inference-with-speculative-decoding</link>
<guid>https://pythonbangalore.com/edgellm-fast-on-device-llm-inference-with-speculative-decoding</guid>
<description><![CDATA[ EdgeLLM Fast On Device LLM Inference With Speculative Decoding ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>EdgeLLM Fast On Device LLM Inference With Speculative Decoding</media:keywords>
</item>

<item>
<title>Adaptive Joint Routing and Caching in Knowledge Defined Networking An Actor Critic Deep Reinforcement Learning Approach</title>
<link>https://pythonbangalore.com/adaptive-joint-routing-and-caching-in-knowledge-defined-networking-an-actor-critic-deep-reinforcement-learning-approach</link>
<guid>https://pythonbangalore.com/adaptive-joint-routing-and-caching-in-knowledge-defined-networking-an-actor-critic-deep-reinforcement-learning-approach</guid>
<description><![CDATA[ Adaptive Joint Routing and Caching in Knowledge Defined Networking An Actor Critic Deep Reinforcement Learning Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Adaptive Joint Routing and Caching in Knowledge Defined Networking An Actor Critic Deep Reinforcement Learning Approach</media:keywords>
</item>

<item>
<title>Underwater Multiple AUV Cooperative Target Tracking Based on Minimal Reward Participation Embedded MARL</title>
<link>https://pythonbangalore.com/underwater-multiple-auv-cooperative-target-tracking-based-on-minimal-reward-participation-embedded-marl</link>
<guid>https://pythonbangalore.com/underwater-multiple-auv-cooperative-target-tracking-based-on-minimal-reward-participation-embedded-marl</guid>
<description><![CDATA[ Underwater Multiple AUV Cooperative Target Tracking Based on Minimal Reward Participation Embedded MARL ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Underwater Multiple AUV Cooperative Target Tracking Based on Minimal Reward Participation Embedded MARL</media:keywords>
</item>

<item>
<title>Membership Inference Attacks Against Incremental Learning in IoT Devices</title>
<link>https://pythonbangalore.com/membership-inference-attacks-against-incremental-learning-in-iot-devices</link>
<guid>https://pythonbangalore.com/membership-inference-attacks-against-incremental-learning-in-iot-devices</guid>
<description><![CDATA[ Membership Inference Attacks Against Incremental Learning in IoT Devices ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Membership Inference Attacks Against Incremental Learning in IoT Devices</media:keywords>
</item>

<item>
<title>Reinforcement Learning Based Dual Identity Double Auction in Personalized Federated Learning</title>
<link>https://pythonbangalore.com/reinforcement-learning-based-dual-identity-double-auction-in-personalized-federated-learning</link>
<guid>https://pythonbangalore.com/reinforcement-learning-based-dual-identity-double-auction-in-personalized-federated-learning</guid>
<description><![CDATA[ Reinforcement Learning Based Dual Identity Double Auction in Personalized Federated Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Reinforcement Learning Based Dual Identity Double Auction in Personalized Federated Learning</media:keywords>
</item>

<item>
<title>Semi Distributed Network Fault Diagnosis Based on Digital Twin Network in Highly Dynamic Heterogeneous Networks</title>
<link>https://pythonbangalore.com/semi-distributed-network-fault-diagnosis-based-on-digital-twin-network-in-highly-dynamic-heterogeneous-networks</link>
<guid>https://pythonbangalore.com/semi-distributed-network-fault-diagnosis-based-on-digital-twin-network-in-highly-dynamic-heterogeneous-networks</guid>
<description><![CDATA[ Semi Distributed Network Fault Diagnosis Based on Digital Twin Network in Highly Dynamic Heterogeneous Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Semi Distributed Network Fault Diagnosis Based on Digital Twin Network in Highly Dynamic Heterogeneous Networks</media:keywords>
</item>

<item>
<title>Learning Driven Swarm Intelligence Enabling Deterministic Flows Scheduling in LEO Satellite Networks</title>
<link>https://pythonbangalore.com/learning-driven-swarm-intelligence-enabling-deterministic-flows-scheduling-in-leo-satellite-networks</link>
<guid>https://pythonbangalore.com/learning-driven-swarm-intelligence-enabling-deterministic-flows-scheduling-in-leo-satellite-networks</guid>
<description><![CDATA[ Learning Driven Swarm Intelligence Enabling Deterministic Flows Scheduling in LEO Satellite Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Learning Driven Swarm Intelligence Enabling Deterministic Flows Scheduling in LEO Satellite Networks</media:keywords>
</item>

<item>
<title>Enabling Large Scale LoRa Parallel Decoding With High Dimensional and High Accuracy Features</title>
<link>https://pythonbangalore.com/enabling-large-scale-lora-parallel-decoding-with-high-dimensional-and-high-accuracy-features</link>
<guid>https://pythonbangalore.com/enabling-large-scale-lora-parallel-decoding-with-high-dimensional-and-high-accuracy-features</guid>
<description><![CDATA[ Enabling Large Scale LoRa Parallel Decoding With High Dimensional and High Accuracy Features ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enabling Large Scale LoRa Parallel Decoding With High Dimensional and High Accuracy Features</media:keywords>
</item>

<item>
<title>Exploring Context Generalizability in Citywide Crowd Mobility Prediction An Analytic Framework and Benchmark</title>
<link>https://pythonbangalore.com/exploring-context-generalizability-in-citywide-crowd-mobility-prediction-an-analytic-framework-and-benchmark</link>
<guid>https://pythonbangalore.com/exploring-context-generalizability-in-citywide-crowd-mobility-prediction-an-analytic-framework-and-benchmark</guid>
<description><![CDATA[ Exploring Context Generalizability in Citywide Crowd Mobility Prediction An Analytic Framework and Benchmark ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Exploring Context Generalizability in Citywide Crowd Mobility Prediction An Analytic Framework and Benchmark</media:keywords>
</item>

<item>
<title>Offloading Game for?Mobile?Edge?Computing?With Random Access in IoT</title>
<link>https://pythonbangalore.com/offloading-game-for-mobile-edge-computing-with-random-access-in-iot</link>
<guid>https://pythonbangalore.com/offloading-game-for-mobile-edge-computing-with-random-access-in-iot</guid>
<description><![CDATA[ Offloading Game for?Mobile?Edge?Computing?With Random Access in IoT ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Offloading Game for?Mobile?Edge?Computing?With Random Access in IoT</media:keywords>
</item>

<item>
<title>Mobile?Tile Based 360?? Video Multicast With Cybersickness Alleviation</title>
<link>https://pythonbangalore.com/mobile-tile-based-360%3F%3F-video-multicast-with-cybersickness-alleviation</link>
<guid>https://pythonbangalore.com/mobile-tile-based-360%3F%3F-video-multicast-with-cybersickness-alleviation</guid>
<description><![CDATA[ Mobile?Tile Based 360?? Video Multicast With Cybersickness Alleviation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Mobile?Tile Based 360?? Video Multicast With Cybersickness Alleviation</media:keywords>
</item>

<item>
<title>Differentially Private Weighted Graphs Publication Under Continuous Monitoring</title>
<link>https://pythonbangalore.com/differentially-private-weighted-graphs-publication-under-continuous-monitoring</link>
<guid>https://pythonbangalore.com/differentially-private-weighted-graphs-publication-under-continuous-monitoring</guid>
<description><![CDATA[ Differentially Private Weighted Graphs Publication Under Continuous Monitoring ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Differentially Private Weighted Graphs Publication Under Continuous Monitoring</media:keywords>
</item>

<item>
<title>Multicast Scheduling Over Multiple Channels A Distribution Embedding Deep Reinforcement Learning Method</title>
<link>https://pythonbangalore.com/multicast-scheduling-over-multiple-channels-a-distribution-embedding-deep-reinforcement-learning-method</link>
<guid>https://pythonbangalore.com/multicast-scheduling-over-multiple-channels-a-distribution-embedding-deep-reinforcement-learning-method</guid>
<description><![CDATA[ Multicast Scheduling Over Multiple Channels A Distribution Embedding Deep Reinforcement Learning Method ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multicast Scheduling Over Multiple Channels A Distribution Embedding Deep Reinforcement Learning Method</media:keywords>
</item>

<item>
<title>Large Scale Mechanism Design for Networks Superimposability and Dynamic Implementation</title>
<link>https://pythonbangalore.com/large-scale-mechanism-design-for-networks-superimposability-and-dynamic-implementation</link>
<guid>https://pythonbangalore.com/large-scale-mechanism-design-for-networks-superimposability-and-dynamic-implementation</guid>
<description><![CDATA[ Large Scale Mechanism Design for Networks Superimposability and Dynamic Implementation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Large Scale Mechanism Design for Networks Superimposability and Dynamic Implementation</media:keywords>
</item>

<item>
<title>ASMAFL Adaptive Staleness Aware Momentum Asynchronous Federated Learning in Edge?Computing</title>
<link>https://pythonbangalore.com/asmafl-adaptive-staleness-aware-momentum-asynchronous-federated-learning-in-edge-computing</link>
<guid>https://pythonbangalore.com/asmafl-adaptive-staleness-aware-momentum-asynchronous-federated-learning-in-edge-computing</guid>
<description><![CDATA[ ASMAFL Adaptive Staleness Aware Momentum Asynchronous Federated Learning in Edge?Computing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>ASMAFL Adaptive Staleness Aware Momentum Asynchronous Federated Learning in Edge?Computing</media:keywords>
</item>

<item>
<title>Resource Allocation for Metaverse Experience Optimization A Multi Objective Multi Agent Evolutionary Reinforcement Learning Approach</title>
<link>https://pythonbangalore.com/resource-allocation-for-metaverse-experience-optimization-a-multi-objective-multi-agent-evolutionary-reinforcement-learning-approach</link>
<guid>https://pythonbangalore.com/resource-allocation-for-metaverse-experience-optimization-a-multi-objective-multi-agent-evolutionary-reinforcement-learning-approach</guid>
<description><![CDATA[ Resource Allocation for Metaverse Experience Optimization A Multi Objective Multi Agent Evolutionary Reinforcement Learning Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Resource Allocation for Metaverse Experience Optimization A Multi Objective Multi Agent Evolutionary Reinforcement Learning Approach</media:keywords>
</item>

<item>
<title>How to Collaborate Towards Maximizing the Generalization Performance in Cross Silo Federated Learning</title>
<link>https://pythonbangalore.com/how-to-collaborate-towards-maximizing-the-generalization-performance-in-cross-silo-federated-learning</link>
<guid>https://pythonbangalore.com/how-to-collaborate-towards-maximizing-the-generalization-performance-in-cross-silo-federated-learning</guid>
<description><![CDATA[ How to Collaborate Towards Maximizing the Generalization Performance in Cross Silo Federated Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>How to Collaborate Towards Maximizing the Generalization Performance in Cross Silo Federated Learning</media:keywords>
</item>

<item>
<title>Smart Shield Prevent Aerial Eavesdropping via Cooperative Intelligent Jamming Based on Multi Agent Reinforcement Learning</title>
<link>https://pythonbangalore.com/smart-shield-prevent-aerial-eavesdropping-via-cooperative-intelligent-jamming-based-on-multi-agent-reinforcement-learning</link>
<guid>https://pythonbangalore.com/smart-shield-prevent-aerial-eavesdropping-via-cooperative-intelligent-jamming-based-on-multi-agent-reinforcement-learning</guid>
<description><![CDATA[ Smart Shield Prevent Aerial Eavesdropping via Cooperative Intelligent Jamming Based on Multi Agent Reinforcement Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Smart Shield Prevent Aerial Eavesdropping via Cooperative Intelligent Jamming Based on Multi Agent Reinforcement Learning</media:keywords>
</item>

<item>
<title>TJCCT A Two Timescale Approach for UAV Assisted?Mobile?Edge?Computing</title>
<link>https://pythonbangalore.com/tjcct-a-two-timescale-approach-for-uav-assisted-mobile-edge-computing</link>
<guid>https://pythonbangalore.com/tjcct-a-two-timescale-approach-for-uav-assisted-mobile-edge-computing</guid>
<description><![CDATA[ TJCCT A Two Timescale Approach for UAV Assisted?Mobile?Edge?Computing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>TJCCT A Two Timescale Approach for UAV Assisted?Mobile?Edge?Computing</media:keywords>
</item>

<item>
<title>HT FL Hybrid Training Federated Learning for Heterogeneous Edge Based IoT Networks</title>
<link>https://pythonbangalore.com/ht-fl-hybrid-training-federated-learning-for-heterogeneous-edge-based-iot-networks</link>
<guid>https://pythonbangalore.com/ht-fl-hybrid-training-federated-learning-for-heterogeneous-edge-based-iot-networks</guid>
<description><![CDATA[ HT FL Hybrid Training Federated Learning for Heterogeneous Edge Based IoT Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>HT FL Hybrid Training Federated Learning for Heterogeneous Edge Based IoT Networks</media:keywords>
</item>

<item>
<title>Preference Aware Vehicle Repositioning Recommendation for MoD Systems A Coulomb Force Directed Perspective</title>
<link>https://pythonbangalore.com/preference-aware-vehicle-repositioning-recommendation-for-mod-systems-a-coulomb-force-directed-perspective</link>
<guid>https://pythonbangalore.com/preference-aware-vehicle-repositioning-recommendation-for-mod-systems-a-coulomb-force-directed-perspective</guid>
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<media:keywords>Adaptive Task Assignment in Spatial Crowdsourcing A Human in The Loop Approach</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Biasing Federated Learning With a New Adversarial Graph Attention Network</media:keywords>
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<media:keywords>A Collaborative Error Detection and Correction Scheme for Safety Message in V2X</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>A Novel Method to Solve the Maximum Weight Clique Problem for Instantly Decodable Network Coding</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Digital Twin Backed Closed Loops for Energy Aware and Open RAN Based Fixed Wireless Access Serving Rural Areas</media:keywords>
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<media:keywords>Efficient and Secure Geometric Range Search Over Encrypted Spatial Data in?Mobile?Cloud</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Deep Reinforcement Learning Based Joint Caching and Routing in AI Driven Networks</media:keywords>
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<media:keywords>Physical Layer Cross Technology Communication via Explainable Neural Networks</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>BIT FL Blockchain Enabled Incentivized and Secure Federated Learning Framework</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Resource Collaboration Between Satellite and Wide Area?Mobile?Base Stations in Integrated Satellite Terrestrial Network</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Edge Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult Case Discriminator</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Multi Target Device Free Positioning Based on Spatial Temporal mmWave Point Cloud</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Secure Localization for Underwater Wireless Sensor Networks via AUV Cooperative Beamforming With Reinforcement Learning</media:keywords>
</item>

<item>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Monitoring Correlated Sources AoI Based Scheduling is Nearly Optimal</media:keywords>
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<media:keywords>Physical Layer CTC From BLE to Wi Fi With?IEEE?80211ax</media:keywords>
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<item>
<title>Near Field Beam Training for Extremely Large Scale MIMO Based on Deep Learning</title>
<link>https://pythonbangalore.com/near-field-beam-training-for-extremely-large-scale-mimo-based-on-deep-learning</link>
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<description><![CDATA[ Near Field Beam Training for Extremely Large Scale MIMO Based on Deep Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Near Field Beam Training for Extremely Large Scale MIMO Based on Deep Learning</media:keywords>
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<item>
<title>WiPhase A Human Activity Recognition Approach by Fusing of Reconstructed WiFi CSI Phase Features</title>
<link>https://pythonbangalore.com/wiphase-a-human-activity-recognition-approach-by-fusing-of-reconstructed-wifi-csi-phase-features</link>
<guid>https://pythonbangalore.com/wiphase-a-human-activity-recognition-approach-by-fusing-of-reconstructed-wifi-csi-phase-features</guid>
<description><![CDATA[ WiPhase A Human Activity Recognition Approach by Fusing of Reconstructed WiFi CSI Phase Features ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>WiPhase A Human Activity Recognition Approach by Fusing of Reconstructed WiFi CSI Phase Features</media:keywords>
</item>

<item>
<title>Continuous Authentication via Wrist Photoplethysmogram An Extensive Study</title>
<link>https://pythonbangalore.com/continuous-authentication-via-wrist-photoplethysmogram-an-extensive-study</link>
<guid>https://pythonbangalore.com/continuous-authentication-via-wrist-photoplethysmogram-an-extensive-study</guid>
<description><![CDATA[ Continuous Authentication via Wrist Photoplethysmogram An Extensive Study ]]></description>
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<media:keywords>Continuous Authentication via Wrist Photoplethysmogram An Extensive Study</media:keywords>
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<item>
<title>WordWhisper Exploiting Real Time, Hardware Dependent IoT Communication Against Eavesdropping</title>
<link>https://pythonbangalore.com/wordwhisper-exploiting-real-time%2C-hardware-dependent-iot-communication-against-eavesdropping</link>
<guid>https://pythonbangalore.com/wordwhisper-exploiting-real-time%2C-hardware-dependent-iot-communication-against-eavesdropping</guid>
<description><![CDATA[ WordWhisper Exploiting Real Time, Hardware Dependent IoT Communication Against Eavesdropping ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>WordWhisper Exploiting Real Time, Hardware Dependent IoT Communication Against Eavesdropping</media:keywords>
</item>

<item>
<title>Adaptive Incentive and Resource Allocation for Blockchain Supported Edge Video Streaming Systems A Cooperative Learning Approach</title>
<link>https://pythonbangalore.com/adaptive-incentive-and-resource-allocation-for-blockchain-supported-edge-video-streaming-systems-a-cooperative-learning-approach</link>
<guid>https://pythonbangalore.com/adaptive-incentive-and-resource-allocation-for-blockchain-supported-edge-video-streaming-systems-a-cooperative-learning-approach</guid>
<description><![CDATA[ Adaptive Incentive and Resource Allocation for Blockchain Supported Edge Video Streaming Systems A Cooperative Learning Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Adaptive Incentive and Resource Allocation for Blockchain Supported Edge Video Streaming Systems A Cooperative Learning Approach</media:keywords>
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<item>
<title>Packet Scheduling in Multi Flow Carrier Aggregation With QoS Provisioning Cross Layer Design and Performance Analysis</title>
<link>https://pythonbangalore.com/packet-scheduling-in-multi-flow-carrier-aggregation-with-qos-provisioning-cross-layer-design-and-performance-analysis</link>
<guid>https://pythonbangalore.com/packet-scheduling-in-multi-flow-carrier-aggregation-with-qos-provisioning-cross-layer-design-and-performance-analysis</guid>
<description><![CDATA[ Packet Scheduling in Multi Flow Carrier Aggregation With QoS Provisioning Cross Layer Design and Performance Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Packet Scheduling in Multi Flow Carrier Aggregation With QoS Provisioning Cross Layer Design and Performance Analysis</media:keywords>
</item>

<item>
<title>Proactive Mobility Load Balancing Through Interior Point Policy Optimization for Open Radio Access Networks</title>
<link>https://pythonbangalore.com/proactive-mobility-load-balancing-through-interior-point-policy-optimization-for-open-radio-access-networks</link>
<guid>https://pythonbangalore.com/proactive-mobility-load-balancing-through-interior-point-policy-optimization-for-open-radio-access-networks</guid>
<description><![CDATA[ Proactive Mobility Load Balancing Through Interior Point Policy Optimization for Open Radio Access Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Proactive Mobility Load Balancing Through Interior Point Policy Optimization for Open Radio Access Networks</media:keywords>
</item>

<item>
<title>Deep Learning Based Segmentation and Localization in CT Angiography for Coronary Heart Disease Diagnosis</title>
<link>https://pythonbangalore.com/deep-learning-based-segmentation-and-localization-in-ct-angiography-for-coronary-heart-disease-diagnosis</link>
<guid>https://pythonbangalore.com/deep-learning-based-segmentation-and-localization-in-ct-angiography-for-coronary-heart-disease-diagnosis</guid>
<description><![CDATA[ Deep Learning Based Segmentation and Localization in CT Angiography for Coronary Heart Disease Diagnosis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Deep Learning Based Segmentation and Localization in CT Angiography for Coronary Heart Disease Diagnosis</media:keywords>
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<item>
<title>Enhancing User Experience in Interactive Virtual Museums for Cultural Heritage Learning Through Extended Reality The Case of Sanxingdui Bronzes</title>
<link>https://pythonbangalore.com/enhancing-user-experience-in-interactive-virtual-museums-for-cultural-heritage-learning-through-extended-reality-the-case-of-sanxingdui-bronzes</link>
<guid>https://pythonbangalore.com/enhancing-user-experience-in-interactive-virtual-museums-for-cultural-heritage-learning-through-extended-reality-the-case-of-sanxingdui-bronzes</guid>
<description><![CDATA[ Enhancing User Experience in Interactive Virtual Museums for Cultural Heritage Learning Through Extended Reality The Case of Sanxingdui Bronzes ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Enhancing User Experience in Interactive Virtual Museums for Cultural Heritage Learning Through Extended Reality The Case of Sanxingdui Bronzes</media:keywords>
</item>

<item>
<title>Semi Supervised Knee Cartilage Segmentation With Successive Eigen Noise Assisted Mean Teacher Knowledge Distillation</title>
<link>https://pythonbangalore.com/semi-supervised-knee-cartilage-segmentation-with-successive-eigen-noise-assisted-mean-teacher-knowledge-distillation</link>
<guid>https://pythonbangalore.com/semi-supervised-knee-cartilage-segmentation-with-successive-eigen-noise-assisted-mean-teacher-knowledge-distillation</guid>
<description><![CDATA[ Semi Supervised Knee Cartilage Segmentation With Successive Eigen Noise Assisted Mean Teacher Knowledge Distillation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Semi Supervised Knee Cartilage Segmentation With Successive Eigen Noise Assisted Mean Teacher Knowledge Distillation</media:keywords>
</item>

<item>
<title>IDENet An Inter Domain Equilibrium Network for Unsupervised Cross Domain Person Re Identification</title>
<link>https://pythonbangalore.com/idenet-an-inter-domain-equilibrium-network-for-unsupervised-cross-domain-person-re-identification</link>
<guid>https://pythonbangalore.com/idenet-an-inter-domain-equilibrium-network-for-unsupervised-cross-domain-person-re-identification</guid>
<description><![CDATA[ IDENet An Inter Domain Equilibrium Network for Unsupervised Cross Domain Person Re Identification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>IDENet An Inter Domain Equilibrium Network for Unsupervised Cross Domain Person Re Identification</media:keywords>
</item>

<item>
<title>To Combine or Not to Combine? The Influence of Combining Training Datasets on the Robustness of Deep Learning Models An Analysis for Optical Character Recognition of Handwriting</title>
<link>https://pythonbangalore.com/to-combine-or-not-to-combine%3F-the-influence-of-combining-training-datasets-on-the-robustness-of-deep-learning-models-an-analysis-for-optical-character-recognition-of-handwriting</link>
<guid>https://pythonbangalore.com/to-combine-or-not-to-combine%3F-the-influence-of-combining-training-datasets-on-the-robustness-of-deep-learning-models-an-analysis-for-optical-character-recognition-of-handwriting</guid>
<description><![CDATA[ To Combine or Not to Combine? The Influence of Combining Training Datasets on the Robustness of Deep Learning Models An Analysis for Optical Character Recognition of Handwriting ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>To Combine or Not to Combine? The Influence of Combining Training Datasets on the Robustness of Deep Learning Models An Analysis for Optical Character Recognition of Handwriting</media:keywords>
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<item>
<title>AERU Net Adaptive Edge Recovery and Attention U Shaped Network for Remote Sensing?Image?Super Resolution</title>
<link>https://pythonbangalore.com/aeru-net-adaptive-edge-recovery-and-attention-u-shaped-network-for-remote-sensing-image-super-resolution</link>
<guid>https://pythonbangalore.com/aeru-net-adaptive-edge-recovery-and-attention-u-shaped-network-for-remote-sensing-image-super-resolution</guid>
<description><![CDATA[ AERU Net Adaptive Edge Recovery and Attention U Shaped Network for Remote Sensing?Image?Super Resolution ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>AERU Net Adaptive Edge Recovery and Attention U Shaped Network for Remote Sensing?Image?Super Resolution</media:keywords>
</item>

<item>
<title>Land Cover Semantic Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss</title>
<link>https://pythonbangalore.com/land-cover-semantic-segmentation-for-very-high-resolution-remote-sensing-imagery-using-deep-transfer-learning-and-active-contour-loss</link>
<guid>https://pythonbangalore.com/land-cover-semantic-segmentation-for-very-high-resolution-remote-sensing-imagery-using-deep-transfer-learning-and-active-contour-loss</guid>
<description><![CDATA[ Land Cover Semantic Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Land Cover Semantic Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss</media:keywords>
</item>

<item>
<title>Haar Wavelet Based Representation Learning for Unpaired?Image to Image?Translation</title>
<link>https://pythonbangalore.com/haar-wavelet-based-representation-learning-for-unpaired-image-to-image-translation</link>
<guid>https://pythonbangalore.com/haar-wavelet-based-representation-learning-for-unpaired-image-to-image-translation</guid>
<description><![CDATA[ Haar Wavelet Based Representation Learning for Unpaired?Image to Image?Translation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Haar Wavelet Based Representation Learning for Unpaired?Image to Image?Translation</media:keywords>
</item>

<item>
<title>Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation</title>
<link>https://pythonbangalore.com/enhancing-fmcw-radar-gesture-classification-with-physically-interpretable-data-augmentation</link>
<guid>https://pythonbangalore.com/enhancing-fmcw-radar-gesture-classification-with-physically-interpretable-data-augmentation</guid>
<description><![CDATA[ Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation</media:keywords>
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<item>
<title>Adaptive Dual Axis Style Based Recalibration Network With Class Wise Statistics Loss for Imbalanced Medical?Image?Classification</title>
<link>https://pythonbangalore.com/adaptive-dual-axis-style-based-recalibration-network-with-class-wise-statistics-loss-for-imbalanced-medical-image-classification</link>
<guid>https://pythonbangalore.com/adaptive-dual-axis-style-based-recalibration-network-with-class-wise-statistics-loss-for-imbalanced-medical-image-classification</guid>
<description><![CDATA[ Adaptive Dual Axis Style Based Recalibration Network With Class Wise Statistics Loss for Imbalanced Medical?Image?Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Adaptive Dual Axis Style Based Recalibration Network With Class Wise Statistics Loss for Imbalanced Medical?Image?Classification</media:keywords>
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<item>
<title>Winograd Transform Based Fast Detection of Heart Disease Using ECG Signals and Chest X Ray?Images</title>
<link>https://pythonbangalore.com/winograd-transform-based-fast-detection-of-heart-disease-using-ecg-signals-and-chest-x-ray-images</link>
<guid>https://pythonbangalore.com/winograd-transform-based-fast-detection-of-heart-disease-using-ecg-signals-and-chest-x-ray-images</guid>
<description><![CDATA[ Winograd Transform Based Fast Detection of Heart Disease Using ECG Signals and Chest X Ray?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Winograd Transform Based Fast Detection of Heart Disease Using ECG Signals and Chest X Ray?Images</media:keywords>
</item>

<item>
<title>Protocol Agnostic and Packet Based Intrusion Detection Using a Multi Layer Deep Learning Architecture at the Network Edge</title>
<link>https://pythonbangalore.com/protocol-agnostic-and-packet-based-intrusion-detection-using-a-multi-layer-deep-learning-architecture-at-the-network-edge</link>
<guid>https://pythonbangalore.com/protocol-agnostic-and-packet-based-intrusion-detection-using-a-multi-layer-deep-learning-architecture-at-the-network-edge</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Protocol Agnostic and Packet Based Intrusion Detection Using a Multi Layer Deep Learning Architecture at the Network Edge</media:keywords>
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<title>Improving Hydroponic Systems by Using ARUCO Markers for Leaf Detection Focus on Tomato Plants</title>
<link>https://pythonbangalore.com/improving-hydroponic-systems-by-using-aruco-markers-for-leaf-detection-focus-on-tomato-plants</link>
<guid>https://pythonbangalore.com/improving-hydroponic-systems-by-using-aruco-markers-for-leaf-detection-focus-on-tomato-plants</guid>
<description><![CDATA[ Improving Hydroponic Systems by Using ARUCO Markers for Leaf Detection Focus on Tomato Plants ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Improving Hydroponic Systems by Using ARUCO Markers for Leaf Detection Focus on Tomato Plants</media:keywords>
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<item>
<title>Deep Learning Based MRI Brain Tumor Segmentation With EfficientNet Enhanced UNet</title>
<link>https://pythonbangalore.com/deep-learning-based-mri-brain-tumor-segmentation-with-efficientnet-enhanced-unet</link>
<guid>https://pythonbangalore.com/deep-learning-based-mri-brain-tumor-segmentation-with-efficientnet-enhanced-unet</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deep Learning Based MRI Brain Tumor Segmentation With EfficientNet Enhanced UNet</media:keywords>
</item>

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<title>Diffusion Based Facial Aesthetics Enhancement With 3D Structure Guidance</title>
<link>https://pythonbangalore.com/diffusion-based-facial-aesthetics-enhancement-with-3d-structure-guidance</link>
<guid>https://pythonbangalore.com/diffusion-based-facial-aesthetics-enhancement-with-3d-structure-guidance</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Diffusion Based Facial Aesthetics Enhancement With 3D Structure Guidance</media:keywords>
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<title>Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling?Process?With CVAE</title>
<link>https://pythonbangalore.com/improving-local-fidelity-and-interpretability-of-lime-by-replacing-only-the-sampling-process-with-cvae</link>
<guid>https://pythonbangalore.com/improving-local-fidelity-and-interpretability-of-lime-by-replacing-only-the-sampling-process-with-cvae</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling?Process?With CVAE</media:keywords>
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<title>Industrial Camera Based Powder Bed Defect Detection in Laser Powder Bed Fusion Dataset Construction and Model Evaluation</title>
<link>https://pythonbangalore.com/industrial-camera-based-powder-bed-defect-detection-in-laser-powder-bed-fusion-dataset-construction-and-model-evaluation</link>
<guid>https://pythonbangalore.com/industrial-camera-based-powder-bed-defect-detection-in-laser-powder-bed-fusion-dataset-construction-and-model-evaluation</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Industrial Camera Based Powder Bed Defect Detection in Laser Powder Bed Fusion Dataset Construction and Model Evaluation</media:keywords>
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<title>Toward Automatic Streetside Building Identification With an Integrated YOLO Model for Building Detection and a Vision Transformer for Identification</title>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Toward Automatic Streetside Building Identification With an Integrated YOLO Model for Building Detection and a Vision Transformer for Identification</media:keywords>
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<title>A Novel Approach With Enhanced Accuracy and Efficiency for?Image?Segmentation</title>
<link>https://pythonbangalore.com/a-novel-approach-with-enhanced-accuracy-and-efficiency-for-image-segmentation</link>
<guid>https://pythonbangalore.com/a-novel-approach-with-enhanced-accuracy-and-efficiency-for-image-segmentation</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Novel Approach With Enhanced Accuracy and Efficiency for?Image?Segmentation</media:keywords>
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<title>Non Redundant Feature Extraction in Mobile Edge Computing</title>
<link>https://pythonbangalore.com/non-redundant-feature-extraction-in-mobile-edge-computing</link>
<guid>https://pythonbangalore.com/non-redundant-feature-extraction-in-mobile-edge-computing</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Non Redundant Feature Extraction in Mobile Edge Computing</media:keywords>
</item>

<item>
<title>The Research on?Image?Adaptive Block Compressive Sensing Method Based on Underwater Depth Information</title>
<link>https://pythonbangalore.com/the-research-on-image-adaptive-block-compressive-sensing-method-based-on-underwater-depth-information</link>
<guid>https://pythonbangalore.com/the-research-on-image-adaptive-block-compressive-sensing-method-based-on-underwater-depth-information</guid>
<description><![CDATA[ The Research on?Image?Adaptive Block Compressive Sensing Method Based on Underwater Depth Information ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>The Research on?Image?Adaptive Block Compressive Sensing Method Based on Underwater Depth Information</media:keywords>
</item>

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<title>MicroCrystalNet An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography</title>
<link>https://pythonbangalore.com/microcrystalnet-an-efficient-and-explainable-convolutional-neural-network-for-microcrystal-classification-using-scanning-electron-microscope-petrography</link>
<guid>https://pythonbangalore.com/microcrystalnet-an-efficient-and-explainable-convolutional-neural-network-for-microcrystal-classification-using-scanning-electron-microscope-petrography</guid>
<description><![CDATA[ MicroCrystalNet An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>MicroCrystalNet An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography</media:keywords>
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<title>SatDiff A Stable Diffusion Framework for Inpainting Very High Resolution Satellite Imagery</title>
<link>https://pythonbangalore.com/satdiff-a-stable-diffusion-framework-for-inpainting-very-high-resolution-satellite-imagery</link>
<guid>https://pythonbangalore.com/satdiff-a-stable-diffusion-framework-for-inpainting-very-high-resolution-satellite-imagery</guid>
<description><![CDATA[ SatDiff A Stable Diffusion Framework for Inpainting Very High Resolution Satellite Imagery ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>SatDiff A Stable Diffusion Framework for Inpainting Very High Resolution Satellite Imagery</media:keywords>
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<title>Evaluation of a Low Cost Amplifier With System Optimization in Thermoacoustic Tomography Characterization and?Imaging?of Ex Vivo and In Vivo Samples</title>
<link>https://pythonbangalore.com/evaluation-of-a-low-cost-amplifier-with-system-optimization-in-thermoacoustic-tomography-characterization-and-imaging-of-ex-vivo-and-in-vivo-samples</link>
<guid>https://pythonbangalore.com/evaluation-of-a-low-cost-amplifier-with-system-optimization-in-thermoacoustic-tomography-characterization-and-imaging-of-ex-vivo-and-in-vivo-samples</guid>
<description><![CDATA[ Evaluation of a Low Cost Amplifier With System Optimization in Thermoacoustic Tomography Characterization and?Imaging?of Ex Vivo and In Vivo Samples ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Evaluation of a Low Cost Amplifier With System Optimization in Thermoacoustic Tomography Characterization and?Imaging?of Ex Vivo and In Vivo Samples</media:keywords>
</item>

<item>
<title>HMD2 Texture Surface Defect Recognition With Histogram Matching and Two Stage Denoising Using a Diffusion Model</title>
<link>https://pythonbangalore.com/hmd2-texture-surface-defect-recognition-with-histogram-matching-and-two-stage-denoising-using-a-diffusion-model</link>
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<description><![CDATA[ HMD2 Texture Surface Defect Recognition With Histogram Matching and Two Stage Denoising Using a Diffusion Model ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>HMD2 Texture Surface Defect Recognition With Histogram Matching and Two Stage Denoising Using a Diffusion Model</media:keywords>
</item>

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<title>DAHNet Dilated Attention Hybrid Network for Intracerebral Hemorrhage Segmentation</title>
<link>https://pythonbangalore.com/dahnet-dilated-attention-hybrid-network-for-intracerebral-hemorrhage-segmentation</link>
<guid>https://pythonbangalore.com/dahnet-dilated-attention-hybrid-network-for-intracerebral-hemorrhage-segmentation</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DAHNet Dilated Attention Hybrid Network for Intracerebral Hemorrhage Segmentation</media:keywords>
</item>

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<title>Improving Artistic Design With KFDeformNet Single Frame Three Dimensional Cartoon Face Recovery</title>
<link>https://pythonbangalore.com/improving-artistic-design-with-kfdeformnet-single-frame-three-dimensional-cartoon-face-recovery</link>
<guid>https://pythonbangalore.com/improving-artistic-design-with-kfdeformnet-single-frame-three-dimensional-cartoon-face-recovery</guid>
<description><![CDATA[ Improving Artistic Design With KFDeformNet Single Frame Three Dimensional Cartoon Face Recovery ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Improving Artistic Design With KFDeformNet Single Frame Three Dimensional Cartoon Face Recovery</media:keywords>
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<title>CBCTL IDS A Transfer Learning Based Intrusion Detection System Optimized With the Black Kite Algorithm for IoT Enabled Smart Agriculture</title>
<link>https://pythonbangalore.com/cbctl-ids-a-transfer-learning-based-intrusion-detection-system-optimized-with-the-black-kite-algorithm-for-iot-enabled-smart-agriculture</link>
<guid>https://pythonbangalore.com/cbctl-ids-a-transfer-learning-based-intrusion-detection-system-optimized-with-the-black-kite-algorithm-for-iot-enabled-smart-agriculture</guid>
<description><![CDATA[ CBCTL IDS A Transfer Learning Based Intrusion Detection System Optimized With the Black Kite Algorithm for IoT Enabled Smart Agriculture ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>CBCTL IDS A Transfer Learning Based Intrusion Detection System Optimized With the Black Kite Algorithm for IoT Enabled Smart Agriculture</media:keywords>
</item>

<item>
<title>A Novel Method for Quick Diagnosis of MS by Analyzing Demyelinated Axon Pathway and Changes in Brain Volumes in MRIs Over Time</title>
<link>https://pythonbangalore.com/a-novel-method-for-quick-diagnosis-of-ms-by-analyzing-demyelinated-axon-pathway-and-changes-in-brain-volumes-in-mris-over-time</link>
<guid>https://pythonbangalore.com/a-novel-method-for-quick-diagnosis-of-ms-by-analyzing-demyelinated-axon-pathway-and-changes-in-brain-volumes-in-mris-over-time</guid>
<description><![CDATA[ A Novel Method for Quick Diagnosis of MS by Analyzing Demyelinated Axon Pathway and Changes in Brain Volumes in MRIs Over Time ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Novel Method for Quick Diagnosis of MS by Analyzing Demyelinated Axon Pathway and Changes in Brain Volumes in MRIs Over Time</media:keywords>
</item>

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<title>LangLoc Language Driven Localization via Formatted Spatial Description Generation</title>
<link>https://pythonbangalore.com/langloc-language-driven-localization-via-formatted-spatial-description-generation</link>
<guid>https://pythonbangalore.com/langloc-language-driven-localization-via-formatted-spatial-description-generation</guid>
<description><![CDATA[ LangLoc Language Driven Localization via Formatted Spatial Description Generation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>LangLoc Language Driven Localization via Formatted Spatial Description Generation</media:keywords>
</item>

<item>
<title>Token Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti Spoofing</title>
<link>https://pythonbangalore.com/token-wise-asymmetric-contrastive-learning-in-countering-unknown-attacks-for-face-anti-spoofing</link>
<guid>https://pythonbangalore.com/token-wise-asymmetric-contrastive-learning-in-countering-unknown-attacks-for-face-anti-spoofing</guid>
<description><![CDATA[ Token Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti Spoofing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Token Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti Spoofing</media:keywords>
</item>

<item>
<title>Image?Segmentation Method for Water Transport Feature Detection in Fabrics via Target Located Strategy</title>
<link>https://pythonbangalore.com/image-segmentation-method-for-water-transport-feature-detection-in-fabrics-via-target-located-strategy</link>
<guid>https://pythonbangalore.com/image-segmentation-method-for-water-transport-feature-detection-in-fabrics-via-target-located-strategy</guid>
<description><![CDATA[ Image?Segmentation Method for Water Transport Feature Detection in Fabrics via Target Located Strategy ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Image?Segmentation Method for Water Transport Feature Detection in Fabrics via Target Located Strategy</media:keywords>
</item>

<item>
<title>UW DNeRF Deformable Soft Tissue Reconstruction With Uncertainty Guided Depth Supervision and Local Information Integration</title>
<link>https://pythonbangalore.com/uw-dnerf-deformable-soft-tissue-reconstruction-with-uncertainty-guided-depth-supervision-and-local-information-integration</link>
<guid>https://pythonbangalore.com/uw-dnerf-deformable-soft-tissue-reconstruction-with-uncertainty-guided-depth-supervision-and-local-information-integration</guid>
<description><![CDATA[ UW DNeRF Deformable Soft Tissue Reconstruction With Uncertainty Guided Depth Supervision and Local Information Integration ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>UW DNeRF Deformable Soft Tissue Reconstruction With Uncertainty Guided Depth Supervision and Local Information Integration</media:keywords>
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<title>System in the Loop Test System With Mixed Reality for Autonomous Ground Vehicle AGV and Military Applications</title>
<link>https://pythonbangalore.com/system-in-the-loop-test-system-with-mixed-reality-for-autonomous-ground-vehicle-agv-and-military-applications</link>
<guid>https://pythonbangalore.com/system-in-the-loop-test-system-with-mixed-reality-for-autonomous-ground-vehicle-agv-and-military-applications</guid>
<description><![CDATA[ System in the Loop Test System With Mixed Reality for Autonomous Ground Vehicle AGV and Military Applications ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>System in the Loop Test System With Mixed Reality for Autonomous Ground Vehicle AGV and Military Applications</media:keywords>
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<item>
<title>Photogrammetry Driven Detection of Structural Peeling in Joints and Corners of Rigid Pavements Using an Unsupervised Learning Meta Architecture</title>
<link>https://pythonbangalore.com/photogrammetry-driven-detection-of-structural-peeling-in-joints-and-corners-of-rigid-pavements-using-an-unsupervised-learning-meta-architecture</link>
<guid>https://pythonbangalore.com/photogrammetry-driven-detection-of-structural-peeling-in-joints-and-corners-of-rigid-pavements-using-an-unsupervised-learning-meta-architecture</guid>
<description><![CDATA[ Photogrammetry Driven Detection of Structural Peeling in Joints and Corners of Rigid Pavements Using an Unsupervised Learning Meta Architecture ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Photogrammetry Driven Detection of Structural Peeling in Joints and Corners of Rigid Pavements Using an Unsupervised Learning Meta Architecture</media:keywords>
</item>

<item>
<title>Multi Axis Feature Diversity Enhancement for Remote Sensing Video Super Resolution</title>
<link>https://pythonbangalore.com/multi-axis-feature-diversity-enhancement-for-remote-sensing-video-super-resolution</link>
<guid>https://pythonbangalore.com/multi-axis-feature-diversity-enhancement-for-remote-sensing-video-super-resolution</guid>
<description><![CDATA[ Multi Axis Feature Diversity Enhancement for Remote Sensing Video Super Resolution ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi Axis Feature Diversity Enhancement for Remote Sensing Video Super Resolution</media:keywords>
</item>

<item>
<title>Multimodal Sentiment Analysis Based on Expert Mixing of Subtask Representations</title>
<link>https://pythonbangalore.com/multimodal-sentiment-analysis-based-on-expert-mixing-of-subtask-representations</link>
<guid>https://pythonbangalore.com/multimodal-sentiment-analysis-based-on-expert-mixing-of-subtask-representations</guid>
<description><![CDATA[ Multimodal Sentiment Analysis Based on Expert Mixing of Subtask Representations ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multimodal Sentiment Analysis Based on Expert Mixing of Subtask Representations</media:keywords>
</item>

<item>
<title>Enhanced Nighttime Vehicle Detection for On Board?Processing</title>
<link>https://pythonbangalore.com/enhanced-nighttime-vehicle-detection-for-on-board-processing</link>
<guid>https://pythonbangalore.com/enhanced-nighttime-vehicle-detection-for-on-board-processing</guid>
<description><![CDATA[ Enhanced Nighttime Vehicle Detection for On Board?Processing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhanced Nighttime Vehicle Detection for On Board?Processing</media:keywords>
</item>

<item>
<title>The JPEG Pleno Learning Based Point Cloud Coding Standard Serving Man and Machine</title>
<link>https://pythonbangalore.com/the-jpeg-pleno-learning-based-point-cloud-coding-standard-serving-man-and-machine</link>
<guid>https://pythonbangalore.com/the-jpeg-pleno-learning-based-point-cloud-coding-standard-serving-man-and-machine</guid>
<description><![CDATA[ The JPEG Pleno Learning Based Point Cloud Coding Standard Serving Man and Machine ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>The JPEG Pleno Learning Based Point Cloud Coding Standard Serving Man and Machine</media:keywords>
</item>

<item>
<title>FLaNS Feature Label Negative Sampling for Out of Distribution Detection</title>
<link>https://pythonbangalore.com/flans-feature-label-negative-sampling-for-out-of-distribution-detection</link>
<guid>https://pythonbangalore.com/flans-feature-label-negative-sampling-for-out-of-distribution-detection</guid>
<description><![CDATA[ FLaNS Feature Label Negative Sampling for Out of Distribution Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>FLaNS Feature Label Negative Sampling for Out of Distribution Detection</media:keywords>
</item>

<item>
<title>CAPRI A Context Aware Privacy Framework for Multi Agent Generative AI Applications</title>
<link>https://pythonbangalore.com/capri-a-context-aware-privacy-framework-for-multi-agent-generative-ai-applications</link>
<guid>https://pythonbangalore.com/capri-a-context-aware-privacy-framework-for-multi-agent-generative-ai-applications</guid>
<description><![CDATA[ CAPRI A Context Aware Privacy Framework for Multi Agent Generative AI Applications ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>CAPRI A Context Aware Privacy Framework for Multi Agent Generative AI Applications</media:keywords>
</item>

<item>
<title>mmWave Radar for Sit to Stand Analysis A Comparative Study With Wearables and Kinect</title>
<link>https://pythonbangalore.com/mmwave-radar-for-sit-to-stand-analysis-a-comparative-study-with-wearables-and-kinect</link>
<guid>https://pythonbangalore.com/mmwave-radar-for-sit-to-stand-analysis-a-comparative-study-with-wearables-and-kinect</guid>
<description><![CDATA[ mmWave Radar for Sit to Stand Analysis A Comparative Study With Wearables and Kinect ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>mmWave Radar for Sit to Stand Analysis A Comparative Study With Wearables and Kinect</media:keywords>
</item>

<item>
<title>Global Cross Entropy Loss for Deep Face Recognition</title>
<link>https://pythonbangalore.com/global-cross-entropy-loss-for-deep-face-recognition</link>
<guid>https://pythonbangalore.com/global-cross-entropy-loss-for-deep-face-recognition</guid>
<description><![CDATA[ Global Cross Entropy Loss for Deep Face Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Global Cross Entropy Loss for Deep Face Recognition</media:keywords>
</item>

<item>
<title>Parameter Based Transfer Learning for Bearing Fault Diagnosis Using Small Samples Under Variable Working Conditions</title>
<link>https://pythonbangalore.com/parameter-based-transfer-learning-for-bearing-fault-diagnosis-using-small-samples-under-variable-working-conditions</link>
<guid>https://pythonbangalore.com/parameter-based-transfer-learning-for-bearing-fault-diagnosis-using-small-samples-under-variable-working-conditions</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Parameter Based Transfer Learning for Bearing Fault Diagnosis Using Small Samples Under Variable Working Conditions</media:keywords>
</item>

<item>
<title>PROMORE A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts</title>
<link>https://pythonbangalore.com/promore-a-procedural-modeler-of-virtual-rural-environments-with-artificial-dataset-generation-capabilities-for-remote-sensing-contexts</link>
<guid>https://pythonbangalore.com/promore-a-procedural-modeler-of-virtual-rural-environments-with-artificial-dataset-generation-capabilities-for-remote-sensing-contexts</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>PROMORE A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts</media:keywords>
</item>

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<title>Cross Scale Transformer Based Matching Network for Generalizable Person Re Identification</title>
<link>https://pythonbangalore.com/cross-scale-transformer-based-matching-network-for-generalizable-person-re-identification</link>
<guid>https://pythonbangalore.com/cross-scale-transformer-based-matching-network-for-generalizable-person-re-identification</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Cross Scale Transformer Based Matching Network for Generalizable Person Re Identification</media:keywords>
</item>

<item>
<title>Ancient Wall Painting Restoration Based on Improved Adaptive Sample Block Criminisi Algorithm and CDD Algorithm</title>
<link>https://pythonbangalore.com/ancient-wall-painting-restoration-based-on-improved-adaptive-sample-block-criminisi-algorithm-and-cdd-algorithm</link>
<guid>https://pythonbangalore.com/ancient-wall-painting-restoration-based-on-improved-adaptive-sample-block-criminisi-algorithm-and-cdd-algorithm</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Ancient Wall Painting Restoration Based on Improved Adaptive Sample Block Criminisi Algorithm and CDD Algorithm</media:keywords>
</item>

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<title>Uncertainty Driven Parallel Transformer Based Segmentation for Oral Disease Dataset</title>
<link>https://pythonbangalore.com/uncertainty-driven-parallel-transformer-based-segmentation-for-oral-disease-dataset</link>
<guid>https://pythonbangalore.com/uncertainty-driven-parallel-transformer-based-segmentation-for-oral-disease-dataset</guid>
<description><![CDATA[ Uncertainty Driven Parallel Transformer Based Segmentation for Oral Disease Dataset ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Uncertainty Driven Parallel Transformer Based Segmentation for Oral Disease Dataset</media:keywords>
</item>

<item>
<title>Empty Substrate Integrated Waveguide Coupler and Transition Structure to WR 3 Waveguide</title>
<link>https://pythonbangalore.com/empty-substrate-integrated-waveguide-coupler-and-transition-structure-to-wr-3-waveguide</link>
<guid>https://pythonbangalore.com/empty-substrate-integrated-waveguide-coupler-and-transition-structure-to-wr-3-waveguide</guid>
<description><![CDATA[ Empty Substrate Integrated Waveguide Coupler and Transition Structure to WR 3 Waveguide ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Empty Substrate Integrated Waveguide Coupler and Transition Structure to WR 3 Waveguide</media:keywords>
</item>

<item>
<title>Hybrid Deep Learning for Human Fall Detection A Synergistic Approach Using YOLOv8 and Time Space Transformers</title>
<link>https://pythonbangalore.com/hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers</link>
<guid>https://pythonbangalore.com/hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers</guid>
<description><![CDATA[ Hybrid Deep Learning for Human Fall Detection A Synergistic Approach Using YOLOv8 and Time Space Transformers ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Hybrid Deep Learning for Human Fall Detection A Synergistic Approach Using YOLOv8 and Time Space Transformers</media:keywords>
</item>

<item>
<title>Cancer Cell Classification Based on Morphological Features of 3D Phase Contrast Microscopy Using Deep Neural Network</title>
<link>https://pythonbangalore.com/cancer-cell-classification-based-on-morphological-features-of-3d-phase-contrast-microscopy-using-deep-neural-network</link>
<guid>https://pythonbangalore.com/cancer-cell-classification-based-on-morphological-features-of-3d-phase-contrast-microscopy-using-deep-neural-network</guid>
<description><![CDATA[ Cancer Cell Classification Based on Morphological Features of 3D Phase Contrast Microscopy Using Deep Neural Network ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Cancer Cell Classification Based on Morphological Features of 3D Phase Contrast Microscopy Using Deep Neural Network</media:keywords>
</item>

<item>
<title>A Few Shot Collapsed Transmission Tower Detection Method Combining Large and Small Models in Remote Sensing?Image</title>
<link>https://pythonbangalore.com/a-few-shot-collapsed-transmission-tower-detection-method-combining-large-and-small-models-in-remote-sensing-image</link>
<guid>https://pythonbangalore.com/a-few-shot-collapsed-transmission-tower-detection-method-combining-large-and-small-models-in-remote-sensing-image</guid>
<description><![CDATA[ A Few Shot Collapsed Transmission Tower Detection Method Combining Large and Small Models in Remote Sensing?Image ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Few Shot Collapsed Transmission Tower Detection Method Combining Large and Small Models in Remote Sensing?Image</media:keywords>
</item>

<item>
<title>Study on the Fourier Defects of Cone Beam Computed Laminography</title>
<link>https://pythonbangalore.com/study-on-the-fourier-defects-of-cone-beam-computed-laminography</link>
<guid>https://pythonbangalore.com/study-on-the-fourier-defects-of-cone-beam-computed-laminography</guid>
<description><![CDATA[ Study on the Fourier Defects of Cone Beam Computed Laminography ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Study on the Fourier Defects of Cone Beam Computed Laminography</media:keywords>
</item>

<item>
<title>Extensive Review of Threat Models for DevSecOps</title>
<link>https://pythonbangalore.com/extensive-review-of-threat-models-for-devsecops</link>
<guid>https://pythonbangalore.com/extensive-review-of-threat-models-for-devsecops</guid>
<description><![CDATA[ Extensive Review of Threat Models for DevSecOps ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Extensive Review of Threat Models for DevSecOps</media:keywords>
</item>

<item>
<title>Anomaly Detection on Smart Grids With Optimized Convolutional Long Short Term Memory Model</title>
<link>https://pythonbangalore.com/anomaly-detection-on-smart-grids-with-optimized-convolutional-long-short-term-memory-model</link>
<guid>https://pythonbangalore.com/anomaly-detection-on-smart-grids-with-optimized-convolutional-long-short-term-memory-model</guid>
<description><![CDATA[ Anomaly Detection on Smart Grids With Optimized Convolutional Long Short Term Memory Model ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Anomaly Detection on Smart Grids With Optimized Convolutional Long Short Term Memory Model</media:keywords>
</item>

<item>
<title>Robust Blind Watermarking to Secure Color Medical?Images?Using Multidimensional FFT Fusing LFSR Encryption and LZW Compression</title>
<link>https://pythonbangalore.com/robust-blind-watermarking-to-secure-color-medical-images-using-multidimensional-fft-fusing-lfsr-encryption-and-lzw-compression</link>
<guid>https://pythonbangalore.com/robust-blind-watermarking-to-secure-color-medical-images-using-multidimensional-fft-fusing-lfsr-encryption-and-lzw-compression</guid>
<description><![CDATA[ Robust Blind Watermarking to Secure Color Medical?Images?Using Multidimensional FFT Fusing LFSR Encryption and LZW Compression ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Robust Blind Watermarking to Secure Color Medical?Images?Using Multidimensional FFT Fusing LFSR Encryption and LZW Compression</media:keywords>
</item>

<item>
<title>Adaptive Contrast Enhancement With Lesion Focusing ACELF</title>
<link>https://pythonbangalore.com/adaptive-contrast-enhancement-with-lesion-focusing-acelf</link>
<guid>https://pythonbangalore.com/adaptive-contrast-enhancement-with-lesion-focusing-acelf</guid>
<description><![CDATA[ Adaptive Contrast Enhancement With Lesion Focusing ACELF ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Adaptive Contrast Enhancement With Lesion Focusing ACELF</media:keywords>
</item>

<item>
<title>Amber Light Assisted CBI Endoscopy for Superior Deep Vascular Visualization and Blood Containing Tissue Depth Differentiation</title>
<link>https://pythonbangalore.com/amber-light-assisted-cbi-endoscopy-for-superior-deep-vascular-visualization-and-blood-containing-tissue-depth-differentiation</link>
<guid>https://pythonbangalore.com/amber-light-assisted-cbi-endoscopy-for-superior-deep-vascular-visualization-and-blood-containing-tissue-depth-differentiation</guid>
<description><![CDATA[ Amber Light Assisted CBI Endoscopy for Superior Deep Vascular Visualization and Blood Containing Tissue Depth Differentiation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Amber Light Assisted CBI Endoscopy for Superior Deep Vascular Visualization and Blood Containing Tissue Depth Differentiation</media:keywords>
</item>

<item>
<title>Joint Content and Shape Adaptive Transforms Based on a GMRF Model for Coding Arbitrarily Shaped?Image?Segments</title>
<link>https://pythonbangalore.com/joint-content-and-shape-adaptive-transforms-based-on-a-gmrf-model-for-coding-arbitrarily-shaped-image-segments</link>
<guid>https://pythonbangalore.com/joint-content-and-shape-adaptive-transforms-based-on-a-gmrf-model-for-coding-arbitrarily-shaped-image-segments</guid>
<description><![CDATA[ Joint Content and Shape Adaptive Transforms Based on a GMRF Model for Coding Arbitrarily Shaped?Image?Segments ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Joint Content and Shape Adaptive Transforms Based on a GMRF Model for Coding Arbitrarily Shaped?Image?Segments</media:keywords>
</item>

<item>
<title>LN SCNet A Lightweight Convolutional Neural Network for SAR Ship Classification</title>
<link>https://pythonbangalore.com/ln-scnet-a-lightweight-convolutional-neural-network-for-sar-ship-classification</link>
<guid>https://pythonbangalore.com/ln-scnet-a-lightweight-convolutional-neural-network-for-sar-ship-classification</guid>
<description><![CDATA[ LN SCNet A Lightweight Convolutional Neural Network for SAR Ship Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>LN SCNet A Lightweight Convolutional Neural Network for SAR Ship Classification</media:keywords>
</item>

<item>
<title>C HIDE A Steganographic Framework for Robust Data Hiding and Advanced Security Using Coverless Hybrid?Image?Encryption With AES and ECC</title>
<link>https://pythonbangalore.com/c-hide-a-steganographic-framework-for-robust-data-hiding-and-advanced-security-using-coverless-hybrid-image-encryption-with-aes-and-ecc</link>
<guid>https://pythonbangalore.com/c-hide-a-steganographic-framework-for-robust-data-hiding-and-advanced-security-using-coverless-hybrid-image-encryption-with-aes-and-ecc</guid>
<description><![CDATA[ C HIDE A Steganographic Framework for Robust Data Hiding and Advanced Security Using Coverless Hybrid?Image?Encryption With AES and ECC ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>C HIDE A Steganographic Framework for Robust Data Hiding and Advanced Security Using Coverless Hybrid?Image?Encryption With AES and ECC</media:keywords>
</item>

<item>
<title>Intelligent Archive Management Based on Deep Learning Technology Driven by Artificial Intelligence</title>
<link>https://pythonbangalore.com/intelligent-archive-management-based-on-deep-learning-technology-driven-by-artificial-intelligence</link>
<guid>https://pythonbangalore.com/intelligent-archive-management-based-on-deep-learning-technology-driven-by-artificial-intelligence</guid>
<description><![CDATA[ Intelligent Archive Management Based on Deep Learning Technology Driven by Artificial Intelligence ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Intelligent Archive Management Based on Deep Learning Technology Driven by Artificial Intelligence</media:keywords>
</item>

<item>
<title>Microwave?Imaging?for Breast Cancer Detection Performance Assessment of a Next Generation Transmission System</title>
<link>https://pythonbangalore.com/microwave-imaging-for-breast-cancer-detection-performance-assessment-of-a-next-generation-transmission-system</link>
<guid>https://pythonbangalore.com/microwave-imaging-for-breast-cancer-detection-performance-assessment-of-a-next-generation-transmission-system</guid>
<description><![CDATA[ Microwave?Imaging?for Breast Cancer Detection Performance Assessment of a Next Generation Transmission System ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Microwave?Imaging?for Breast Cancer Detection Performance Assessment of a Next Generation Transmission System</media:keywords>
</item>

<item>
<title>Rethinking Semantic Segmentation With Multi Grained Logical Prototype</title>
<link>https://pythonbangalore.com/rethinking-semantic-segmentation-with-multi-grained-logical-prototype</link>
<guid>https://pythonbangalore.com/rethinking-semantic-segmentation-with-multi-grained-logical-prototype</guid>
<description><![CDATA[ Rethinking Semantic Segmentation With Multi Grained Logical Prototype ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Rethinking Semantic Segmentation With Multi Grained Logical Prototype</media:keywords>
</item>

<item>
<title>Resolving Symmetry Ambiguity in Correspondence Based Methods for Instance Level Object Pose Estimation</title>
<link>https://pythonbangalore.com/resolving-symmetry-ambiguity-in-correspondence-based-methods-for-instance-level-object-pose-estimation</link>
<guid>https://pythonbangalore.com/resolving-symmetry-ambiguity-in-correspondence-based-methods-for-instance-level-object-pose-estimation</guid>
<description><![CDATA[ Resolving Symmetry Ambiguity in Correspondence Based Methods for Instance Level Object Pose Estimation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Resolving Symmetry Ambiguity in Correspondence Based Methods for Instance Level Object Pose Estimation</media:keywords>
</item>

<item>
<title>Deep Adaptive Chaos Synchronization Based on Optimization Algorithm</title>
<link>https://pythonbangalore.com/deep-adaptive-chaos-synchronization-based-on-optimization-algorithm</link>
<guid>https://pythonbangalore.com/deep-adaptive-chaos-synchronization-based-on-optimization-algorithm</guid>
<description><![CDATA[ Deep Adaptive Chaos Synchronization Based on Optimization Algorithm ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deep Adaptive Chaos Synchronization Based on Optimization Algorithm</media:keywords>
</item>

<item>
<title>Magnetic Resonance Based Electric Properties Tomography via Green?s Integral Identity</title>
<link>https://pythonbangalore.com/magnetic-resonance-based-electric-properties-tomography-via-green%3Fs-integral-identity</link>
<guid>https://pythonbangalore.com/magnetic-resonance-based-electric-properties-tomography-via-green%3Fs-integral-identity</guid>
<description><![CDATA[ Magnetic Resonance Based Electric Properties Tomography via Green?s Integral Identity ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Magnetic Resonance Based Electric Properties Tomography via Green?s Integral Identity</media:keywords>
</item>

<item>
<title>Real Time?Image?Processing?Applications in Automatic BGA Inspection System</title>
<link>https://pythonbangalore.com/real-time-image-processing-applications-in-automatic-bga-inspection-system</link>
<guid>https://pythonbangalore.com/real-time-image-processing-applications-in-automatic-bga-inspection-system</guid>
<description><![CDATA[ Real Time?Image?Processing?Applications in Automatic BGA Inspection System ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Real Time?Image?Processing?Applications in Automatic BGA Inspection System</media:keywords>
</item>

<item>
<title>Around2center Self Supervised Denoising From the Around to the Center Using Masks</title>
<link>https://pythonbangalore.com/around2center-self-supervised-denoising-from-the-around-to-the-center-using-masks</link>
<guid>https://pythonbangalore.com/around2center-self-supervised-denoising-from-the-around-to-the-center-using-masks</guid>
<description><![CDATA[ Around2center Self Supervised Denoising From the Around to the Center Using Masks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Around2center Self Supervised Denoising From the Around to the Center Using Masks</media:keywords>
</item>

<item>
<title>Automatic Adjustment Method of Operating Parameters in Laser Cleaning?Process?Based on?Image?Processing</title>
<link>https://pythonbangalore.com/automatic-adjustment-method-of-operating-parameters-in-laser-cleaning-process-based-on-image-processing</link>
<guid>https://pythonbangalore.com/automatic-adjustment-method-of-operating-parameters-in-laser-cleaning-process-based-on-image-processing</guid>
<description><![CDATA[ Automatic Adjustment Method of Operating Parameters in Laser Cleaning?Process?Based on?Image?Processing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Automatic Adjustment Method of Operating Parameters in Laser Cleaning?Process?Based on?Image?Processing</media:keywords>
</item>

<item>
<title>Class Concept Representation From Contextual Texts for Training Free Multi Label Recognition</title>
<link>https://pythonbangalore.com/class-concept-representation-from-contextual-texts-for-training-free-multi-label-recognition</link>
<guid>https://pythonbangalore.com/class-concept-representation-from-contextual-texts-for-training-free-multi-label-recognition</guid>
<description><![CDATA[ Class Concept Representation From Contextual Texts for Training Free Multi Label Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Class Concept Representation From Contextual Texts for Training Free Multi Label Recognition</media:keywords>
</item>

<item>
<title>VibNet Vibration Boosted Needle Detection in Ultrasound?Images</title>
<link>https://pythonbangalore.com/vibnet-vibration-boosted-needle-detection-in-ultrasound-images</link>
<guid>https://pythonbangalore.com/vibnet-vibration-boosted-needle-detection-in-ultrasound-images</guid>
<description><![CDATA[ VibNet Vibration Boosted Needle Detection in Ultrasound?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>VibNet Vibration Boosted Needle Detection in Ultrasound?Images</media:keywords>
</item>

<item>
<title>A Dual Perspective Self Supervised IoT Intrusion Detection Method Based on Topology Reconstruction and Feature Perturbation</title>
<link>https://pythonbangalore.com/a-dual-perspective-self-supervised-iot-intrusion-detection-method-based-on-topology-reconstruction-and-feature-perturbation</link>
<guid>https://pythonbangalore.com/a-dual-perspective-self-supervised-iot-intrusion-detection-method-based-on-topology-reconstruction-and-feature-perturbation</guid>
<description><![CDATA[ A Dual Perspective Self Supervised IoT Intrusion Detection Method Based on Topology Reconstruction and Feature Perturbation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Dual Perspective Self Supervised IoT Intrusion Detection Method Based on Topology Reconstruction and Feature Perturbation</media:keywords>
</item>

<item>
<title>Deep Underwater?Image?Quality Assessment With Explicit Degradation Awareness Embedding</title>
<link>https://pythonbangalore.com/deep-underwater-image-quality-assessment-with-explicit-degradation-awareness-embedding</link>
<guid>https://pythonbangalore.com/deep-underwater-image-quality-assessment-with-explicit-degradation-awareness-embedding</guid>
<description><![CDATA[ Deep Underwater?Image?Quality Assessment With Explicit Degradation Awareness Embedding ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deep Underwater?Image?Quality Assessment With Explicit Degradation Awareness Embedding</media:keywords>
</item>

<item>
<title>Evaluating Pretrained Deep Learning Models for?Image?Classification Against Individual and Ensemble Adversarial Attacks</title>
<link>https://pythonbangalore.com/evaluating-pretrained-deep-learning-models-for-image-classification-against-individual-and-ensemble-adversarial-attacks</link>
<guid>https://pythonbangalore.com/evaluating-pretrained-deep-learning-models-for-image-classification-against-individual-and-ensemble-adversarial-attacks</guid>
<description><![CDATA[ Evaluating Pretrained Deep Learning Models for?Image?Classification Against Individual and Ensemble Adversarial Attacks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Evaluating Pretrained Deep Learning Models for?Image?Classification Against Individual and Ensemble Adversarial Attacks</media:keywords>
</item>

<item>
<title>Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing A Review</title>
<link>https://pythonbangalore.com/dense-segmentation-techniques-using-deep-learning-for-urban-scene-parsing-a-review</link>
<guid>https://pythonbangalore.com/dense-segmentation-techniques-using-deep-learning-for-urban-scene-parsing-a-review</guid>
<description><![CDATA[ Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing A Review ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing A Review</media:keywords>
</item>

<item>
<title>MaeFuse Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible?Image?Fusion via Guided Training</title>
<link>https://pythonbangalore.com/maefuse-transferring-omni-features-with-pretrained-masked-autoencoders-for-infrared-and-visible-image-fusion-via-guided-training</link>
<guid>https://pythonbangalore.com/maefuse-transferring-omni-features-with-pretrained-masked-autoencoders-for-infrared-and-visible-image-fusion-via-guided-training</guid>
<description><![CDATA[ MaeFuse Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible?Image?Fusion via Guided Training ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>MaeFuse Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible?Image?Fusion via Guided Training</media:keywords>
</item>

<item>
<title>Distortion Measurement Metric for Human?Image?Refinement and Evaluation Using Distorted?Image?Datasets</title>
<link>https://pythonbangalore.com/distortion-measurement-metric-for-human-image-refinement-and-evaluation-using-distorted-image-datasets</link>
<guid>https://pythonbangalore.com/distortion-measurement-metric-for-human-image-refinement-and-evaluation-using-distorted-image-datasets</guid>
<description><![CDATA[ Distortion Measurement Metric for Human?Image?Refinement and Evaluation Using Distorted?Image?Datasets ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Distortion Measurement Metric for Human?Image?Refinement and Evaluation Using Distorted?Image?Datasets</media:keywords>
</item>

<item>
<title>Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree Based Learning</title>
<link>https://pythonbangalore.com/early-detection-of-lung-cancer-using-predictive-modeling-incorporating-ctgan-features-and-tree-based-learning</link>
<guid>https://pythonbangalore.com/early-detection-of-lung-cancer-using-predictive-modeling-incorporating-ctgan-features-and-tree-based-learning</guid>
<description><![CDATA[ Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree Based Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree Based Learning</media:keywords>
</item>

<item>
<title>GAN Prior Enhanced Novel View Synthesis From Monocular Degraded?Images</title>
<link>https://pythonbangalore.com/gan-prior-enhanced-novel-view-synthesis-from-monocular-degraded-images</link>
<guid>https://pythonbangalore.com/gan-prior-enhanced-novel-view-synthesis-from-monocular-degraded-images</guid>
<description><![CDATA[ GAN Prior Enhanced Novel View Synthesis From Monocular Degraded?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>GAN Prior Enhanced Novel View Synthesis From Monocular Degraded?Images</media:keywords>
</item>

<item>
<title>Deformable Cross Attention Transformer for Weakly Aligned RGB?T Pedestrian Detection</title>
<link>https://pythonbangalore.com/deformable-cross-attention-transformer-for-weakly-aligned-rgb%3Ft-pedestrian-detection</link>
<guid>https://pythonbangalore.com/deformable-cross-attention-transformer-for-weakly-aligned-rgb%3Ft-pedestrian-detection</guid>
<description><![CDATA[ Deformable Cross Attention Transformer for Weakly Aligned RGB?T Pedestrian Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deformable Cross Attention Transformer for Weakly Aligned RGB?T Pedestrian Detection</media:keywords>
</item>

<item>
<title>TBag Three Recipes for Building up a Lightweight Hybrid Network for Real Time SISR</title>
<link>https://pythonbangalore.com/tbag-three-recipes-for-building-up-a-lightweight-hybrid-network-for-real-time-sisr</link>
<guid>https://pythonbangalore.com/tbag-three-recipes-for-building-up-a-lightweight-hybrid-network-for-real-time-sisr</guid>
<description><![CDATA[ TBag Three Recipes for Building up a Lightweight Hybrid Network for Real Time SISR ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>TBag Three Recipes for Building up a Lightweight Hybrid Network for Real Time SISR</media:keywords>
</item>

<item>
<title>Preemptive Defense Algorithm Based on Generalizable Black Box Feedback Regulation Strategy Against Face Swapping Deepfake Models</title>
<link>https://pythonbangalore.com/preemptive-defense-algorithm-based-on-generalizable-black-box-feedback-regulation-strategy-against-face-swapping-deepfake-models</link>
<guid>https://pythonbangalore.com/preemptive-defense-algorithm-based-on-generalizable-black-box-feedback-regulation-strategy-against-face-swapping-deepfake-models</guid>
<description><![CDATA[ Preemptive Defense Algorithm Based on Generalizable Black Box Feedback Regulation Strategy Against Face Swapping Deepfake Models ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Preemptive Defense Algorithm Based on Generalizable Black Box Feedback Regulation Strategy Against Face Swapping Deepfake Models</media:keywords>
</item>

<item>
<title>Threefold Encoder Interaction Hierarchical Multi Grained Semantic Alignment for Cross Modal Food Retrieval</title>
<link>https://pythonbangalore.com/threefold-encoder-interaction-hierarchical-multi-grained-semantic-alignment-for-cross-modal-food-retrieval</link>
<guid>https://pythonbangalore.com/threefold-encoder-interaction-hierarchical-multi-grained-semantic-alignment-for-cross-modal-food-retrieval</guid>
<description><![CDATA[ Threefold Encoder Interaction Hierarchical Multi Grained Semantic Alignment for Cross Modal Food Retrieval ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Threefold Encoder Interaction Hierarchical Multi Grained Semantic Alignment for Cross Modal Food Retrieval</media:keywords>
</item>

<item>
<title>Frefusion Frequency Domain Transformer for Infrared and Visible?Image?Fusion</title>
<link>https://pythonbangalore.com/frefusion-frequency-domain-transformer-for-infrared-and-visible-image-fusion</link>
<guid>https://pythonbangalore.com/frefusion-frequency-domain-transformer-for-infrared-and-visible-image-fusion</guid>
<description><![CDATA[ Frefusion Frequency Domain Transformer for Infrared and Visible?Image?Fusion ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Frefusion Frequency Domain Transformer for Infrared and Visible?Image?Fusion</media:keywords>
</item>

<item>
<title>Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks A Novel Approach for Histopathological?Image?Multi Classification</title>
<link>https://pythonbangalore.com/enhancing-breast-cancer-diagnosis-with-bidirectional-recurrent-neural-networks-a-novel-approach-for-histopathological-image-multi-classification</link>
<guid>https://pythonbangalore.com/enhancing-breast-cancer-diagnosis-with-bidirectional-recurrent-neural-networks-a-novel-approach-for-histopathological-image-multi-classification</guid>
<description><![CDATA[ Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks A Novel Approach for Histopathological?Image?Multi Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks A Novel Approach for Histopathological?Image?Multi Classification</media:keywords>
</item>

<item>
<title>Moir? Watermark Robust Watermarking Against Screen Shooting Using Moir? Patterns</title>
<link>https://pythonbangalore.com/moir%3F-watermark-robust-watermarking-against-screen-shooting-using-moir%3F-patterns</link>
<guid>https://pythonbangalore.com/moir%3F-watermark-robust-watermarking-against-screen-shooting-using-moir%3F-patterns</guid>
<description><![CDATA[ Moir? Watermark Robust Watermarking Against Screen Shooting Using Moir? Patterns ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Moir? Watermark Robust Watermarking Against Screen Shooting Using Moir? Patterns</media:keywords>
</item>

<item>
<title>Robust Visual Food Recognition for Enriching Nutrition Knowledge Bases</title>
<link>https://pythonbangalore.com/robust-visual-food-recognition-for-enriching-nutrition-knowledge-bases</link>
<guid>https://pythonbangalore.com/robust-visual-food-recognition-for-enriching-nutrition-knowledge-bases</guid>
<description><![CDATA[ Robust Visual Food Recognition for Enriching Nutrition Knowledge Bases ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Robust Visual Food Recognition for Enriching Nutrition Knowledge Bases</media:keywords>
</item>

<item>
<title>HGFormer Topology Aware Vision Transformer With HyperGraph Learning</title>
<link>https://pythonbangalore.com/hgformer-topology-aware-vision-transformer-with-hypergraph-learning</link>
<guid>https://pythonbangalore.com/hgformer-topology-aware-vision-transformer-with-hypergraph-learning</guid>
<description><![CDATA[ HGFormer Topology Aware Vision Transformer With HyperGraph Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>HGFormer Topology Aware Vision Transformer With HyperGraph Learning</media:keywords>
</item>

<item>
<title>Rethinking Temporal Context in Video QA A Comprehensive Study of Single Frame Static Bias</title>
<link>https://pythonbangalore.com/rethinking-temporal-context-in-video-qa-a-comprehensive-study-of-single-frame-static-bias</link>
<guid>https://pythonbangalore.com/rethinking-temporal-context-in-video-qa-a-comprehensive-study-of-single-frame-static-bias</guid>
<description><![CDATA[ Rethinking Temporal Context in Video QA A Comprehensive Study of Single Frame Static Bias ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Rethinking Temporal Context in Video QA A Comprehensive Study of Single Frame Static Bias</media:keywords>
</item>

<item>
<title>Copy Move Forgery?Image?Detection Based on Cross Scale Modeling and Alternating Refinement</title>
<link>https://pythonbangalore.com/copy-move-forgery-image-detection-based-on-cross-scale-modeling-and-alternating-refinement</link>
<guid>https://pythonbangalore.com/copy-move-forgery-image-detection-based-on-cross-scale-modeling-and-alternating-refinement</guid>
<description><![CDATA[ Copy Move Forgery?Image?Detection Based on Cross Scale Modeling and Alternating Refinement ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Copy Move Forgery?Image?Detection Based on Cross Scale Modeling and Alternating Refinement</media:keywords>
</item>

<item>
<title>ContextualCoder Adaptive In Context Prompting for Programmatic Visual Question Answering</title>
<link>https://pythonbangalore.com/contextualcoder-adaptive-in-context-prompting-for-programmatic-visual-question-answering</link>
<guid>https://pythonbangalore.com/contextualcoder-adaptive-in-context-prompting-for-programmatic-visual-question-answering</guid>
<description><![CDATA[ ContextualCoder Adaptive In Context Prompting for Programmatic Visual Question Answering ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>ContextualCoder Adaptive In Context Prompting for Programmatic Visual Question Answering</media:keywords>
</item>

<item>
<title>Explainable Video Topics for Content Taxonomy A Multimodal Retrieval Approach to Industry Compliant Contextual Advertising</title>
<link>https://pythonbangalore.com/explainable-video-topics-for-content-taxonomy-a-multimodal-retrieval-approach-to-industry-compliant-contextual-advertising</link>
<guid>https://pythonbangalore.com/explainable-video-topics-for-content-taxonomy-a-multimodal-retrieval-approach-to-industry-compliant-contextual-advertising</guid>
<description><![CDATA[ Explainable Video Topics for Content Taxonomy A Multimodal Retrieval Approach to Industry Compliant Contextual Advertising ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Explainable Video Topics for Content Taxonomy A Multimodal Retrieval Approach to Industry Compliant Contextual Advertising</media:keywords>
</item>

<item>
<title>Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial?Image?Classification</title>
<link>https://pythonbangalore.com/leveraging-cloud-resources-for-distributed-training-of-residual-cnns-in-aerial-image-classification</link>
<guid>https://pythonbangalore.com/leveraging-cloud-resources-for-distributed-training-of-residual-cnns-in-aerial-image-classification</guid>
<description><![CDATA[ Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial?Image?Classification ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial?Image?Classification</media:keywords>
</item>

<item>
<title>A Pseudo Variance Algorithm for Semi Supervised Semantic Segmentation</title>
<link>https://pythonbangalore.com/a-pseudo-variance-algorithm-for-semi-supervised-semantic-segmentation</link>
<guid>https://pythonbangalore.com/a-pseudo-variance-algorithm-for-semi-supervised-semantic-segmentation</guid>
<description><![CDATA[ A Pseudo Variance Algorithm for Semi Supervised Semantic Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Pseudo Variance Algorithm for Semi Supervised Semantic Segmentation</media:keywords>
</item>

<item>
<title>Atmospheric Scattering Model Combined With?Image?Segmentation in Foggy?Image?Enhancement</title>
<link>https://pythonbangalore.com/atmospheric-scattering-model-combined-with-image-segmentation-in-foggy-image-enhancement</link>
<guid>https://pythonbangalore.com/atmospheric-scattering-model-combined-with-image-segmentation-in-foggy-image-enhancement</guid>
<description><![CDATA[ Atmospheric Scattering Model Combined With?Image?Segmentation in Foggy?Image?Enhancement ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Atmospheric Scattering Model Combined With?Image?Segmentation in Foggy?Image?Enhancement</media:keywords>
</item>

<item>
<title>Practical Evaluation Framework for Real Time Multi Object Tracking Achieving Optimal and Realistic Performance</title>
<link>https://pythonbangalore.com/practical-evaluation-framework-for-real-time-multi-object-tracking-achieving-optimal-and-realistic-performance</link>
<guid>https://pythonbangalore.com/practical-evaluation-framework-for-real-time-multi-object-tracking-achieving-optimal-and-realistic-performance</guid>
<description><![CDATA[ Practical Evaluation Framework for Real Time Multi Object Tracking Achieving Optimal and Realistic Performance ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Practical Evaluation Framework for Real Time Multi Object Tracking Achieving Optimal and Realistic Performance</media:keywords>
</item>

<item>
<title>A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and?Image?Similarity</title>
<link>https://pythonbangalore.com/a-patent-infringement-analysis-approach-based-on-patent-knowledge-graph-driven-fusion-of-graph-and-image-similarity</link>
<guid>https://pythonbangalore.com/a-patent-infringement-analysis-approach-based-on-patent-knowledge-graph-driven-fusion-of-graph-and-image-similarity</guid>
<description><![CDATA[ A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and?Image?Similarity ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and?Image?Similarity</media:keywords>
</item>

<item>
<title>Masked Vascular Structure Segmentation and Completion in Retinal?Images</title>
<link>https://pythonbangalore.com/masked-vascular-structure-segmentation-and-completion-in-retinal-images</link>
<guid>https://pythonbangalore.com/masked-vascular-structure-segmentation-and-completion-in-retinal-images</guid>
<description><![CDATA[ Masked Vascular Structure Segmentation and Completion in Retinal?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Masked Vascular Structure Segmentation and Completion in Retinal?Images</media:keywords>
</item>

<item>
<title>Weakly Supervised LiDAR Semantic Segmentation via Scatter?Image?Annotation</title>
<link>https://pythonbangalore.com/weakly-supervised-lidar-semantic-segmentation-via-scatter-image-annotation</link>
<guid>https://pythonbangalore.com/weakly-supervised-lidar-semantic-segmentation-via-scatter-image-annotation</guid>
<description><![CDATA[ Weakly Supervised LiDAR Semantic Segmentation via Scatter?Image?Annotation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Weakly Supervised LiDAR Semantic Segmentation via Scatter?Image?Annotation</media:keywords>
</item>

<item>
<title>Replay Based Incremental Object Detection With Local Response Exploration</title>
<link>https://pythonbangalore.com/replay-based-incremental-object-detection-with-local-response-exploration</link>
<guid>https://pythonbangalore.com/replay-based-incremental-object-detection-with-local-response-exploration</guid>
<description><![CDATA[ Replay Based Incremental Object Detection With Local Response Exploration ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Replay Based Incremental Object Detection With Local Response Exploration</media:keywords>
</item>

<item>
<title>UPN GCN Update Positive Negative Graph Convolution Neural Network in Non Euclidean Structured Data</title>
<link>https://pythonbangalore.com/upn-gcn-update-positive-negative-graph-convolution-neural-network-in-non-euclidean-structured-data</link>
<guid>https://pythonbangalore.com/upn-gcn-update-positive-negative-graph-convolution-neural-network-in-non-euclidean-structured-data</guid>
<description><![CDATA[ UPN GCN Update Positive Negative Graph Convolution Neural Network in Non Euclidean Structured Data ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>UPN GCN Update Positive Negative Graph Convolution Neural Network in Non Euclidean Structured Data</media:keywords>
</item>

<item>
<title>Real Time Moving Vehicle Counting and Speed Estimation Toward Efficient Traffic Surveillance</title>
<link>https://pythonbangalore.com/real-time-moving-vehicle-counting-and-speed-estimation-toward-efficient-traffic-surveillance</link>
<guid>https://pythonbangalore.com/real-time-moving-vehicle-counting-and-speed-estimation-toward-efficient-traffic-surveillance</guid>
<description><![CDATA[ Real Time Moving Vehicle Counting and Speed Estimation Toward Efficient Traffic Surveillance ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Real Time Moving Vehicle Counting and Speed Estimation Toward Efficient Traffic Surveillance</media:keywords>
</item>

<item>
<title>Research on Flexible Material Identification and Positioning Based on Machine Vision</title>
<link>https://pythonbangalore.com/research-on-flexible-material-identification-and-positioning-based-on-machine-vision</link>
<guid>https://pythonbangalore.com/research-on-flexible-material-identification-and-positioning-based-on-machine-vision</guid>
<description><![CDATA[ Research on Flexible Material Identification and Positioning Based on Machine Vision ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Research on Flexible Material Identification and Positioning Based on Machine Vision</media:keywords>
</item>

<item>
<title>A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts</title>
<link>https://pythonbangalore.com/a-foundation-model-for-lesion-segmentation-on-brain-mri-with-mixture-of-modality-experts</link>
<guid>https://pythonbangalore.com/a-foundation-model-for-lesion-segmentation-on-brain-mri-with-mixture-of-modality-experts</guid>
<description><![CDATA[ A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts ]]></description>
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<dc:creator>admin</dc:creator>
<media:keywords>A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts</media:keywords>
</item>

<item>
<title>Data Subdivision Based Dual Weighted Robust Principal Component Analysis</title>
<link>https://pythonbangalore.com/data-subdivision-based-dual-weighted-robust-principal-component-analysis</link>
<guid>https://pythonbangalore.com/data-subdivision-based-dual-weighted-robust-principal-component-analysis</guid>
<description><![CDATA[ Data Subdivision Based Dual Weighted Robust Principal Component Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Data Subdivision Based Dual Weighted Robust Principal Component Analysis</media:keywords>
</item>

<item>
<title>DMN SLAM Multi MLPs Neural Implicit Representation SLAM for Dynamic Environments</title>
<link>https://pythonbangalore.com/dmn-slam-multi-mlps-neural-implicit-representation-slam-for-dynamic-environments</link>
<guid>https://pythonbangalore.com/dmn-slam-multi-mlps-neural-implicit-representation-slam-for-dynamic-environments</guid>
<description><![CDATA[ DMN SLAM Multi MLPs Neural Implicit Representation SLAM for Dynamic Environments ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DMN SLAM Multi MLPs Neural Implicit Representation SLAM for Dynamic Environments</media:keywords>
</item>

<item>
<title>A Survey on Computer Vision Based Automatic Assessment of Stroke and Facial Palsy</title>
<link>https://pythonbangalore.com/a-survey-on-computer-vision-based-automatic-assessment-of-stroke-and-facial-palsy</link>
<guid>https://pythonbangalore.com/a-survey-on-computer-vision-based-automatic-assessment-of-stroke-and-facial-palsy</guid>
<description><![CDATA[ A Survey on Computer Vision Based Automatic Assessment of Stroke and Facial Palsy ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Survey on Computer Vision Based Automatic Assessment of Stroke and Facial Palsy</media:keywords>
</item>

<item>
<title>Complex Valued Multi Domain Features and Its Application in Motor Imagery Classification</title>
<link>https://pythonbangalore.com/complex-valued-multi-domain-features-and-its-application-in-motor-imagery-classification</link>
<guid>https://pythonbangalore.com/complex-valued-multi-domain-features-and-its-application-in-motor-imagery-classification</guid>
<description><![CDATA[ Complex Valued Multi Domain Features and Its Application in Motor Imagery Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Complex Valued Multi Domain Features and Its Application in Motor Imagery Classification</media:keywords>
</item>

<item>
<title>Selecting?Images?With Entropy for Frugal Knowledge Distillation</title>
<link>https://pythonbangalore.com/selecting-images-with-entropy-for-frugal-knowledge-distillation</link>
<guid>https://pythonbangalore.com/selecting-images-with-entropy-for-frugal-knowledge-distillation</guid>
<description><![CDATA[ Selecting?Images?With Entropy for Frugal Knowledge Distillation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Selecting?Images?With Entropy for Frugal Knowledge Distillation</media:keywords>
</item>

<item>
<title>Trajectory Prediction and Intention Recognition Based on CNN GRU</title>
<link>https://pythonbangalore.com/trajectory-prediction-and-intention-recognition-based-on-cnn-gru</link>
<guid>https://pythonbangalore.com/trajectory-prediction-and-intention-recognition-based-on-cnn-gru</guid>
<description><![CDATA[ Trajectory Prediction and Intention Recognition Based on CNN GRU ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Trajectory Prediction and Intention Recognition Based on CNN GRU</media:keywords>
</item>

<item>
<title>A Power Efficient 05668 TOPS W Digital Logic Accelerator Implemented Using 40 nm CMOS?Process?for Underwater Object Recognition Usage</title>
<link>https://pythonbangalore.com/a-power-efficient-05668-tops-w-digital-logic-accelerator-implemented-using-40-nm-cmos-process-for-underwater-object-recognition-usage</link>
<guid>https://pythonbangalore.com/a-power-efficient-05668-tops-w-digital-logic-accelerator-implemented-using-40-nm-cmos-process-for-underwater-object-recognition-usage</guid>
<description><![CDATA[ A Power Efficient 05668 TOPS W Digital Logic Accelerator Implemented Using 40 nm CMOS?Process?for Underwater Object Recognition Usage ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Power Efficient 05668 TOPS W Digital Logic Accelerator Implemented Using 40 nm CMOS?Process?for Underwater Object Recognition Usage</media:keywords>
</item>

<item>
<title>Sim to Real Learning Based Nonlinear MPC for UAV Navigation and Collision Avoidance in Unknown Cluttered Environments</title>
<link>https://pythonbangalore.com/sim-to-real-learning-based-nonlinear-mpc-for-uav-navigation-and-collision-avoidance-in-unknown-cluttered-environments</link>
<guid>https://pythonbangalore.com/sim-to-real-learning-based-nonlinear-mpc-for-uav-navigation-and-collision-avoidance-in-unknown-cluttered-environments</guid>
<description><![CDATA[ Sim to Real Learning Based Nonlinear MPC for UAV Navigation and Collision Avoidance in Unknown Cluttered Environments ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Sim to Real Learning Based Nonlinear MPC for UAV Navigation and Collision Avoidance in Unknown Cluttered Environments</media:keywords>
</item>

<item>
<title>Validation Framework for Analyzing Complex Anatomical Structures Application of L System Models</title>
<link>https://pythonbangalore.com/validation-framework-for-analyzing-complex-anatomical-structures-application-of-l-system-models</link>
<guid>https://pythonbangalore.com/validation-framework-for-analyzing-complex-anatomical-structures-application-of-l-system-models</guid>
<description><![CDATA[ Validation Framework for Analyzing Complex Anatomical Structures Application of L System Models ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Validation Framework for Analyzing Complex Anatomical Structures Application of L System Models</media:keywords>
</item>

<item>
<title>An Auto Annotation Approach for Object Detection and Depth Based Distance Estimation in Security and Surveillance Systems</title>
<link>https://pythonbangalore.com/an-auto-annotation-approach-for-object-detection-and-depth-based-distance-estimation-in-security-and-surveillance-systems</link>
<guid>https://pythonbangalore.com/an-auto-annotation-approach-for-object-detection-and-depth-based-distance-estimation-in-security-and-surveillance-systems</guid>
<description><![CDATA[ An Auto Annotation Approach for Object Detection and Depth Based Distance Estimation in Security and Surveillance Systems ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An Auto Annotation Approach for Object Detection and Depth Based Distance Estimation in Security and Surveillance Systems</media:keywords>
</item>

<item>
<title>A Transformer Based Multimodal Object Detection System for Real World Applications</title>
<link>https://pythonbangalore.com/a-transformer-based-multimodal-object-detection-system-for-real-world-applications</link>
<guid>https://pythonbangalore.com/a-transformer-based-multimodal-object-detection-system-for-real-world-applications</guid>
<description><![CDATA[ A Transformer Based Multimodal Object Detection System for Real World Applications ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Transformer Based Multimodal Object Detection System for Real World Applications</media:keywords>
</item>

<item>
<title>A Meta Reinforcement Learning Based Poisoning Attack Framework Against Federated Learning</title>
<link>https://pythonbangalore.com/a-meta-reinforcement-learning-based-poisoning-attack-framework-against-federated-learning</link>
<guid>https://pythonbangalore.com/a-meta-reinforcement-learning-based-poisoning-attack-framework-against-federated-learning</guid>
<description><![CDATA[ A Meta Reinforcement Learning Based Poisoning Attack Framework Against Federated Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Meta Reinforcement Learning Based Poisoning Attack Framework Against Federated Learning</media:keywords>
</item>

<item>
<title>U2 Net Combined End to End Unsupervised Learning Method for Implementing Accurate Computer Generated Phase Only Hologram</title>
<link>https://pythonbangalore.com/u2-net-combined-end-to-end-unsupervised-learning-method-for-implementing-accurate-computer-generated-phase-only-hologram</link>
<guid>https://pythonbangalore.com/u2-net-combined-end-to-end-unsupervised-learning-method-for-implementing-accurate-computer-generated-phase-only-hologram</guid>
<description><![CDATA[ U2 Net Combined End to End Unsupervised Learning Method for Implementing Accurate Computer Generated Phase Only Hologram ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>U2 Net Combined End to End Unsupervised Learning Method for Implementing Accurate Computer Generated Phase Only Hologram</media:keywords>
</item>

<item>
<title>EffTEE Efficient?Image?Classification and Object Detection on Mobile Devices Using Trusted Execution Environments</title>
<link>https://pythonbangalore.com/efftee-efficient-image-classification-and-object-detection-on-mobile-devices-using-trusted-execution-environments</link>
<guid>https://pythonbangalore.com/efftee-efficient-image-classification-and-object-detection-on-mobile-devices-using-trusted-execution-environments</guid>
<description><![CDATA[ EffTEE Efficient?Image?Classification and Object Detection on Mobile Devices Using Trusted Execution Environments ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>EffTEE Efficient?Image?Classification and Object Detection on Mobile Devices Using Trusted Execution Environments</media:keywords>
</item>

<item>
<title>A Modified Parallel NET MPNET Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans</title>
<link>https://pythonbangalore.com/a-modified-parallel-net-mpnet-based-deep-learning-technique-for-the-segmentation-and-quantification-of-visceral-and-superficial-adipose-tissues-of-ct-scans</link>
<guid>https://pythonbangalore.com/a-modified-parallel-net-mpnet-based-deep-learning-technique-for-the-segmentation-and-quantification-of-visceral-and-superficial-adipose-tissues-of-ct-scans</guid>
<description><![CDATA[ A Modified Parallel NET MPNET Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Modified Parallel NET MPNET Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans</media:keywords>
</item>

<item>
<title>Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation Using Deep Learning Based?Image?Processing?Techniques</title>
<link>https://pythonbangalore.com/early-diagnosis-and-severity-assessment-of-weligama-coconut-leaf-wilt-disease-and-coconut-caterpillar-infestation-using-deep-learning-based-image-processing-techniques</link>
<guid>https://pythonbangalore.com/early-diagnosis-and-severity-assessment-of-weligama-coconut-leaf-wilt-disease-and-coconut-caterpillar-infestation-using-deep-learning-based-image-processing-techniques</guid>
<description><![CDATA[ Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation Using Deep Learning Based?Image?Processing?Techniques ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation Using Deep Learning Based?Image?Processing?Techniques</media:keywords>
</item>

<item>
<title>FLSH A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection</title>
<link>https://pythonbangalore.com/flsh-a-framework-leveraging-similarity-hashing-for-android-malware-and-variant-detection</link>
<guid>https://pythonbangalore.com/flsh-a-framework-leveraging-similarity-hashing-for-android-malware-and-variant-detection</guid>
<description><![CDATA[ FLSH A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>FLSH A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection</media:keywords>
</item>

<item>
<title>QRNet Quaternion Based Refinement Network for Surface Normal Estimation</title>
<link>https://pythonbangalore.com/qrnet-quaternion-based-refinement-network-for-surface-normal-estimation</link>
<guid>https://pythonbangalore.com/qrnet-quaternion-based-refinement-network-for-surface-normal-estimation</guid>
<description><![CDATA[ QRNet Quaternion Based Refinement Network for Surface Normal Estimation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>QRNet Quaternion Based Refinement Network for Surface Normal Estimation</media:keywords>
</item>

<item>
<title>Centra Net A Centralized Network for Visual Localization Spanning Multiple Scenes</title>
<link>https://pythonbangalore.com/centra-net-a-centralized-network-for-visual-localization-spanning-multiple-scenes</link>
<guid>https://pythonbangalore.com/centra-net-a-centralized-network-for-visual-localization-spanning-multiple-scenes</guid>
<description><![CDATA[ Centra Net A Centralized Network for Visual Localization Spanning Multiple Scenes ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Centra Net A Centralized Network for Visual Localization Spanning Multiple Scenes</media:keywords>
</item>

<item>
<title>Zero Shot?Image?Harmonization With Generative Model Prior</title>
<link>https://pythonbangalore.com/zero-shot-image-harmonization-with-generative-model-prior</link>
<guid>https://pythonbangalore.com/zero-shot-image-harmonization-with-generative-model-prior</guid>
<description><![CDATA[ Zero Shot?Image?Harmonization With Generative Model Prior ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Zero Shot?Image?Harmonization With Generative Model Prior</media:keywords>
</item>

<item>
<title>Hyperspectral?Image?Classification via Cascaded Spatial Cross Attention Network</title>
<link>https://pythonbangalore.com/hyperspectral-image-classification-via-cascaded-spatial-cross-attention-network</link>
<guid>https://pythonbangalore.com/hyperspectral-image-classification-via-cascaded-spatial-cross-attention-network</guid>
<description><![CDATA[ Hyperspectral?Image?Classification via Cascaded Spatial Cross Attention Network ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Hyperspectral?Image?Classification via Cascaded Spatial Cross Attention Network</media:keywords>
</item>

<item>
<title>Self Supervised Monocular Depth Estimation With Dual Path Encoders and Offset Field Interpolation</title>
<link>https://pythonbangalore.com/self-supervised-monocular-depth-estimation-with-dual-path-encoders-and-offset-field-interpolation</link>
<guid>https://pythonbangalore.com/self-supervised-monocular-depth-estimation-with-dual-path-encoders-and-offset-field-interpolation</guid>
<description><![CDATA[ Self Supervised Monocular Depth Estimation With Dual Path Encoders and Offset Field Interpolation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Self Supervised Monocular Depth Estimation With Dual Path Encoders and Offset Field Interpolation</media:keywords>
</item>

<item>
<title>Methods for User Controlled Synthesis of Blood Vessel Trees in Medical Applications A Survey</title>
<link>https://pythonbangalore.com/methods-for-user-controlled-synthesis-of-blood-vessel-trees-in-medical-applications-a-survey</link>
<guid>https://pythonbangalore.com/methods-for-user-controlled-synthesis-of-blood-vessel-trees-in-medical-applications-a-survey</guid>
<description><![CDATA[ Methods for User Controlled Synthesis of Blood Vessel Trees in Medical Applications A Survey ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Methods for User Controlled Synthesis of Blood Vessel Trees in Medical Applications A Survey</media:keywords>
</item>

<item>
<title>Enhancing Medical Vision Language Contrastive Learning via Inter Matching Relation Modeling</title>
<link>https://pythonbangalore.com/enhancing-medical-vision-language-contrastive-learning-via-inter-matching-relation-modeling</link>
<guid>https://pythonbangalore.com/enhancing-medical-vision-language-contrastive-learning-via-inter-matching-relation-modeling</guid>
<description><![CDATA[ Enhancing Medical Vision Language Contrastive Learning via Inter Matching Relation Modeling ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing Medical Vision Language Contrastive Learning via Inter Matching Relation Modeling</media:keywords>
</item>

<item>
<title>Dual Residual Guided Interactive Learning for the Quality Assessment of Enhanced?Images</title>
<link>https://pythonbangalore.com/dual-residual-guided-interactive-learning-for-the-quality-assessment-of-enhanced-images</link>
<guid>https://pythonbangalore.com/dual-residual-guided-interactive-learning-for-the-quality-assessment-of-enhanced-images</guid>
<description><![CDATA[ Dual Residual Guided Interactive Learning for the Quality Assessment of Enhanced?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dual Residual Guided Interactive Learning for the Quality Assessment of Enhanced?Images</media:keywords>
</item>

<item>
<title>TUNeS A Temporal U Net With Self Attention for Video Based Surgical Phase Recognition</title>
<link>https://pythonbangalore.com/tunes-a-temporal-u-net-with-self-attention-for-video-based-surgical-phase-recognition</link>
<guid>https://pythonbangalore.com/tunes-a-temporal-u-net-with-self-attention-for-video-based-surgical-phase-recognition</guid>
<description><![CDATA[ TUNeS A Temporal U Net With Self Attention for Video Based Surgical Phase Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>TUNeS A Temporal U Net With Self Attention for Video Based Surgical Phase Recognition</media:keywords>
</item>

<item>
<title>Dual Polarization Self Coherent Transceivers for Free Space Optical Communications in the Presence of Atmospheric Turbulence</title>
<link>https://pythonbangalore.com/dual-polarization-self-coherent-transceivers-for-free-space-optical-communications-in-the-presence-of-atmospheric-turbulence</link>
<guid>https://pythonbangalore.com/dual-polarization-self-coherent-transceivers-for-free-space-optical-communications-in-the-presence-of-atmospheric-turbulence</guid>
<description><![CDATA[ Dual Polarization Self Coherent Transceivers for Free Space Optical Communications in the Presence of Atmospheric Turbulence ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dual Polarization Self Coherent Transceivers for Free Space Optical Communications in the Presence of Atmospheric Turbulence</media:keywords>
</item>

<item>
<title>VisGraphVar A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision Language Models</title>
<link>https://pythonbangalore.com/visgraphvar-a-benchmark-generator-for-assessing-variability-in-graph-analysis-using-large-vision-language-models</link>
<guid>https://pythonbangalore.com/visgraphvar-a-benchmark-generator-for-assessing-variability-in-graph-analysis-using-large-vision-language-models</guid>
<description><![CDATA[ VisGraphVar A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision Language Models ]]></description>
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<media:keywords>VisGraphVar A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision Language Models</media:keywords>
</item>

<item>
<title>AI Innovations in rPPG Systems for Driver Monitoring Comprehensive Systematic Review and Future Prospects</title>
<link>https://pythonbangalore.com/ai-innovations-in-rppg-systems-for-driver-monitoring-comprehensive-systematic-review-and-future-prospects</link>
<guid>https://pythonbangalore.com/ai-innovations-in-rppg-systems-for-driver-monitoring-comprehensive-systematic-review-and-future-prospects</guid>
<description><![CDATA[ AI Innovations in rPPG Systems for Driver Monitoring Comprehensive Systematic Review and Future Prospects ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>AI Innovations in rPPG Systems for Driver Monitoring Comprehensive Systematic Review and Future Prospects</media:keywords>
</item>

<item>
<title>Application of Soft Computing for Prediction of Peripheral Neuropathy in T2DM A Real Time Data Analysis</title>
<link>https://pythonbangalore.com/application-of-soft-computing-for-prediction-of-peripheral-neuropathy-in-t2dm-a-real-time-data-analysis</link>
<guid>https://pythonbangalore.com/application-of-soft-computing-for-prediction-of-peripheral-neuropathy-in-t2dm-a-real-time-data-analysis</guid>
<description><![CDATA[ Application of Soft Computing for Prediction of Peripheral Neuropathy in T2DM A Real Time Data Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Application of Soft Computing for Prediction of Peripheral Neuropathy in T2DM A Real Time Data Analysis</media:keywords>
</item>

<item>
<title>Analogical Augmentation and Significance Analysis for Online Task Free Continual Learning</title>
<link>https://pythonbangalore.com/analogical-augmentation-and-significance-analysis-for-online-task-free-continual-learning</link>
<guid>https://pythonbangalore.com/analogical-augmentation-and-significance-analysis-for-online-task-free-continual-learning</guid>
<description><![CDATA[ Analogical Augmentation and Significance Analysis for Online Task Free Continual Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Analogical Augmentation and Significance Analysis for Online Task Free Continual Learning</media:keywords>
</item>

<item>
<title>One is All A Unified Rate Distortion Complexity Framework for Learned?Image?Compression Under Energy Concentration Criteria</title>
<link>https://pythonbangalore.com/one-is-all-a-unified-rate-distortion-complexity-framework-for-learned-image-compression-under-energy-concentration-criteria</link>
<guid>https://pythonbangalore.com/one-is-all-a-unified-rate-distortion-complexity-framework-for-learned-image-compression-under-energy-concentration-criteria</guid>
<description><![CDATA[ One is All A Unified Rate Distortion Complexity Framework for Learned?Image?Compression Under Energy Concentration Criteria ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>One is All A Unified Rate Distortion Complexity Framework for Learned?Image?Compression Under Energy Concentration Criteria</media:keywords>
</item>

<item>
<title>MLFuse Multi Scenario Feature Joint Learning for Multi Modality?Image?Fusion</title>
<link>https://pythonbangalore.com/mlfuse-multi-scenario-feature-joint-learning-for-multi-modality-image-fusion</link>
<guid>https://pythonbangalore.com/mlfuse-multi-scenario-feature-joint-learning-for-multi-modality-image-fusion</guid>
<description><![CDATA[ MLFuse Multi Scenario Feature Joint Learning for Multi Modality?Image?Fusion ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>MLFuse Multi Scenario Feature Joint Learning for Multi Modality?Image?Fusion</media:keywords>
</item>

<item>
<title>Human Centered Financial Signal Analysis Based on Visual Patterns in Stock Charts</title>
<link>https://pythonbangalore.com/human-centered-financial-signal-analysis-based-on-visual-patterns-in-stock-charts</link>
<guid>https://pythonbangalore.com/human-centered-financial-signal-analysis-based-on-visual-patterns-in-stock-charts</guid>
<description><![CDATA[ Human Centered Financial Signal Analysis Based on Visual Patterns in Stock Charts ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Human Centered Financial Signal Analysis Based on Visual Patterns in Stock Charts</media:keywords>
</item>

<item>
<title>Privacy Preserving?Image?Inpainting Using Markov Random Field Modeling</title>
<link>https://pythonbangalore.com/privacy-preserving-image-inpainting-using-markov-random-field-modeling</link>
<guid>https://pythonbangalore.com/privacy-preserving-image-inpainting-using-markov-random-field-modeling</guid>
<description><![CDATA[ Privacy Preserving?Image?Inpainting Using Markov Random Field Modeling ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Privacy Preserving?Image?Inpainting Using Markov Random Field Modeling</media:keywords>
</item>

<item>
<title>Air Pollution Monitoring by Integrating Local and Global Information in Self Adaptive Multiscale Transform Domain</title>
<link>https://pythonbangalore.com/air-pollution-monitoring-by-integrating-local-and-global-information-in-self-adaptive-multiscale-transform-domain</link>
<guid>https://pythonbangalore.com/air-pollution-monitoring-by-integrating-local-and-global-information-in-self-adaptive-multiscale-transform-domain</guid>
<description><![CDATA[ Air Pollution Monitoring by Integrating Local and Global Information in Self Adaptive Multiscale Transform Domain ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Air Pollution Monitoring by Integrating Local and Global Information in Self Adaptive Multiscale Transform Domain</media:keywords>
</item>

<item>
<title>Domain Generalization Study of Empirical Risk Minimization From Causal Perspectives</title>
<link>https://pythonbangalore.com/domain-generalization-study-of-empirical-risk-minimization-from-causal-perspectives</link>
<guid>https://pythonbangalore.com/domain-generalization-study-of-empirical-risk-minimization-from-causal-perspectives</guid>
<description><![CDATA[ Domain Generalization Study of Empirical Risk Minimization From Causal Perspectives ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Domain Generalization Study of Empirical Risk Minimization From Causal Perspectives</media:keywords>
</item>

<item>
<title>Transductive Few Shot Learning With Enhanced Spectral Spatial Embedding for Hyperspectral?Image?Classification</title>
<link>https://pythonbangalore.com/transductive-few-shot-learning-with-enhanced-spectral-spatial-embedding-for-hyperspectral-image-classification</link>
<guid>https://pythonbangalore.com/transductive-few-shot-learning-with-enhanced-spectral-spatial-embedding-for-hyperspectral-image-classification</guid>
<description><![CDATA[ Transductive Few Shot Learning With Enhanced Spectral Spatial Embedding for Hyperspectral?Image?Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Transductive Few Shot Learning With Enhanced Spectral Spatial Embedding for Hyperspectral?Image?Classification</media:keywords>
</item>

<item>
<title>Study on the Thermal State of a Transverse Flux Motor</title>
<link>https://pythonbangalore.com/study-on-the-thermal-state-of-a-transverse-flux-motor</link>
<guid>https://pythonbangalore.com/study-on-the-thermal-state-of-a-transverse-flux-motor</guid>
<description><![CDATA[ Study on the Thermal State of a Transverse Flux Motor ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Study on the Thermal State of a Transverse Flux Motor</media:keywords>
</item>

<item>
<title>DR_PVNet An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments</title>
<link>https://pythonbangalore.com/dr_pvnet-an-improved-pvnet-network-for-weakly-textured-object-pose-estimation-in-indoor-complex-environments</link>
<guid>https://pythonbangalore.com/dr_pvnet-an-improved-pvnet-network-for-weakly-textured-object-pose-estimation-in-indoor-complex-environments</guid>
<description><![CDATA[ DR_PVNet An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DR_PVNet An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments</media:keywords>
</item>

<item>
<title>IAR 20 An Algorithm for Refining Inconsistent Annotations for Time Series Data Using Discriminative Classifiers</title>
<link>https://pythonbangalore.com/iar-20-an-algorithm-for-refining-inconsistent-annotations-for-time-series-data-using-discriminative-classifiers</link>
<guid>https://pythonbangalore.com/iar-20-an-algorithm-for-refining-inconsistent-annotations-for-time-series-data-using-discriminative-classifiers</guid>
<description><![CDATA[ IAR 20 An Algorithm for Refining Inconsistent Annotations for Time Series Data Using Discriminative Classifiers ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>IAR 20 An Algorithm for Refining Inconsistent Annotations for Time Series Data Using Discriminative Classifiers</media:keywords>
</item>

<item>
<title>Multimodal Zero Shot Shelf Deformation Detection Based on MEMS Sensors and?Images</title>
<link>https://pythonbangalore.com/multimodal-zero-shot-shelf-deformation-detection-based-on-mems-sensors-and-images</link>
<guid>https://pythonbangalore.com/multimodal-zero-shot-shelf-deformation-detection-based-on-mems-sensors-and-images</guid>
<description><![CDATA[ Multimodal Zero Shot Shelf Deformation Detection Based on MEMS Sensors and?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multimodal Zero Shot Shelf Deformation Detection Based on MEMS Sensors and?Images</media:keywords>
</item>

<item>
<title>Automatic Segmentation and Characterization of Structure Planes From Borehole?Images?Based on Deep Learning</title>
<link>https://pythonbangalore.com/automatic-segmentation-and-characterization-of-structure-planes-from-borehole-images-based-on-deep-learning</link>
<guid>https://pythonbangalore.com/automatic-segmentation-and-characterization-of-structure-planes-from-borehole-images-based-on-deep-learning</guid>
<description><![CDATA[ Automatic Segmentation and Characterization of Structure Planes From Borehole?Images?Based on Deep Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Automatic Segmentation and Characterization of Structure Planes From Borehole?Images?Based on Deep Learning</media:keywords>
</item>

<item>
<title>Latent Watermark Inject and Detect Watermarks in Latent Diffusion Space</title>
<link>https://pythonbangalore.com/latent-watermark-inject-and-detect-watermarks-in-latent-diffusion-space</link>
<guid>https://pythonbangalore.com/latent-watermark-inject-and-detect-watermarks-in-latent-diffusion-space</guid>
<description><![CDATA[ Latent Watermark Inject and Detect Watermarks in Latent Diffusion Space ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Latent Watermark Inject and Detect Watermarks in Latent Diffusion Space</media:keywords>
</item>

<item>
<title>S3GAAR Segmented Spatiotemporal Skeleton Graph Attention for Action Recognition</title>
<link>https://pythonbangalore.com/s3gaar-segmented-spatiotemporal-skeleton-graph-attention-for-action-recognition</link>
<guid>https://pythonbangalore.com/s3gaar-segmented-spatiotemporal-skeleton-graph-attention-for-action-recognition</guid>
<description><![CDATA[ S3GAAR Segmented Spatiotemporal Skeleton Graph Attention for Action Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>S3GAAR Segmented Spatiotemporal Skeleton Graph Attention for Action Recognition</media:keywords>
</item>

<item>
<title>Rectangling for Stitched?Image?via Pixel Wise Deformation Learning</title>
<link>https://pythonbangalore.com/rectangling-for-stitched-image-via-pixel-wise-deformation-learning</link>
<guid>https://pythonbangalore.com/rectangling-for-stitched-image-via-pixel-wise-deformation-learning</guid>
<description><![CDATA[ Rectangling for Stitched?Image?via Pixel Wise Deformation Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Rectangling for Stitched?Image?via Pixel Wise Deformation Learning</media:keywords>
</item>

<item>
<title>Learning Intrinsic Invariance Within Intra Class for Domain Generalization</title>
<link>https://pythonbangalore.com/learning-intrinsic-invariance-within-intra-class-for-domain-generalization</link>
<guid>https://pythonbangalore.com/learning-intrinsic-invariance-within-intra-class-for-domain-generalization</guid>
<description><![CDATA[ Learning Intrinsic Invariance Within Intra Class for Domain Generalization ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Learning Intrinsic Invariance Within Intra Class for Domain Generalization</media:keywords>
</item>

<item>
<title>Detecting Adversarial Attacks Based on Tracking Differences in Frequency Bands</title>
<link>https://pythonbangalore.com/detecting-adversarial-attacks-based-on-tracking-differences-in-frequency-bands</link>
<guid>https://pythonbangalore.com/detecting-adversarial-attacks-based-on-tracking-differences-in-frequency-bands</guid>
<description><![CDATA[ Detecting Adversarial Attacks Based on Tracking Differences in Frequency Bands ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Detecting Adversarial Attacks Based on Tracking Differences in Frequency Bands</media:keywords>
</item>

<item>
<title>DetailRecon Focusing on Detailed Regions for Online Monocular 3D Reconstruction</title>
<link>https://pythonbangalore.com/detailrecon-focusing-on-detailed-regions-for-online-monocular-3d-reconstruction</link>
<guid>https://pythonbangalore.com/detailrecon-focusing-on-detailed-regions-for-online-monocular-3d-reconstruction</guid>
<description><![CDATA[ DetailRecon Focusing on Detailed Regions for Online Monocular 3D Reconstruction ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DetailRecon Focusing on Detailed Regions for Online Monocular 3D Reconstruction</media:keywords>
</item>

<item>
<title>Dual Domain Teacher for Unsupervised Domain Adaptation Detection</title>
<link>https://pythonbangalore.com/dual-domain-teacher-for-unsupervised-domain-adaptation-detection</link>
<guid>https://pythonbangalore.com/dual-domain-teacher-for-unsupervised-domain-adaptation-detection</guid>
<description><![CDATA[ Dual Domain Teacher for Unsupervised Domain Adaptation Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dual Domain Teacher for Unsupervised Domain Adaptation Detection</media:keywords>
</item>

<item>
<title>Dataset and Metric for Quality Assessment of HDR Tone Mapping Detail Visibility, Color Naturalness, and Overall Quality</title>
<link>https://pythonbangalore.com/dataset-and-metric-for-quality-assessment-of-hdr-tone-mapping-detail-visibility%2C-color-naturalness%2C-and-overall-quality</link>
<guid>https://pythonbangalore.com/dataset-and-metric-for-quality-assessment-of-hdr-tone-mapping-detail-visibility%2C-color-naturalness%2C-and-overall-quality</guid>
<description><![CDATA[ Dataset and Metric for Quality Assessment of HDR Tone Mapping Detail Visibility, Color Naturalness, and Overall Quality ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dataset and Metric for Quality Assessment of HDR Tone Mapping Detail Visibility, Color Naturalness, and Overall Quality</media:keywords>
</item>

<item>
<title>Hypergraph Based Remaining Prototype Alignment for Open Set Cross Domain?Image?Retrieval</title>
<link>https://pythonbangalore.com/hypergraph-based-remaining-prototype-alignment-for-open-set-cross-domain-image-retrieval</link>
<guid>https://pythonbangalore.com/hypergraph-based-remaining-prototype-alignment-for-open-set-cross-domain-image-retrieval</guid>
<description><![CDATA[ Hypergraph Based Remaining Prototype Alignment for Open Set Cross Domain?Image?Retrieval ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Hypergraph Based Remaining Prototype Alignment for Open Set Cross Domain?Image?Retrieval</media:keywords>
</item>

<item>
<title>Stream ViT Learning Streamlined Convolutions in Vision Transformer</title>
<link>https://pythonbangalore.com/stream-vit-learning-streamlined-convolutions-in-vision-transformer</link>
<guid>https://pythonbangalore.com/stream-vit-learning-streamlined-convolutions-in-vision-transformer</guid>
<description><![CDATA[ Stream ViT Learning Streamlined Convolutions in Vision Transformer ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Stream ViT Learning Streamlined Convolutions in Vision Transformer</media:keywords>
</item>

<item>
<title>Relighting From a Single?Image Datasets and Deep Intrinsic Based Architecture</title>
<link>https://pythonbangalore.com/relighting-from-a-single-image-datasets-and-deep-intrinsic-based-architecture</link>
<guid>https://pythonbangalore.com/relighting-from-a-single-image-datasets-and-deep-intrinsic-based-architecture</guid>
<description><![CDATA[ Relighting From a Single?Image Datasets and Deep Intrinsic Based Architecture ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Relighting From a Single?Image Datasets and Deep Intrinsic Based Architecture</media:keywords>
</item>

<item>
<title>Geometry Aware Self Supervised Indoor 360??Depth Estimation via Asymmetric Dual Domain Collaborative Learning</title>
<link>https://pythonbangalore.com/geometry-aware-self-supervised-indoor-360%3F-depth-estimation-via-asymmetric-dual-domain-collaborative-learning</link>
<guid>https://pythonbangalore.com/geometry-aware-self-supervised-indoor-360%3F-depth-estimation-via-asymmetric-dual-domain-collaborative-learning</guid>
<description><![CDATA[ Geometry Aware Self Supervised Indoor 360??Depth Estimation via Asymmetric Dual Domain Collaborative Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Geometry Aware Self Supervised Indoor 360??Depth Estimation via Asymmetric Dual Domain Collaborative Learning</media:keywords>
</item>

<item>
<title>Decoupled Prototype Learning for Reliable Test Time Adaptation</title>
<link>https://pythonbangalore.com/decoupled-prototype-learning-for-reliable-test-time-adaptation</link>
<guid>https://pythonbangalore.com/decoupled-prototype-learning-for-reliable-test-time-adaptation</guid>
<description><![CDATA[ Decoupled Prototype Learning for Reliable Test Time Adaptation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Decoupled Prototype Learning for Reliable Test Time Adaptation</media:keywords>
</item>

<item>
<title>CLIP GAN Stacking CLIPs and GAN for Efficient and Controllable Text to Image?Synthesis</title>
<link>https://pythonbangalore.com/clip-gan-stacking-clips-and-gan-for-efficient-and-controllable-text-to-image-synthesis</link>
<guid>https://pythonbangalore.com/clip-gan-stacking-clips-and-gan-for-efficient-and-controllable-text-to-image-synthesis</guid>
<description><![CDATA[ CLIP GAN Stacking CLIPs and GAN for Efficient and Controllable Text to Image?Synthesis ]]></description>
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<dc:creator>admin</dc:creator>
<media:keywords>CLIP GAN Stacking CLIPs and GAN for Efficient and Controllable Text to Image?Synthesis</media:keywords>
</item>

<item>
<title>Cluster Assumption Guided Timestamp Supervised Temporal Action Segmentation</title>
<link>https://pythonbangalore.com/cluster-assumption-guided-timestamp-supervised-temporal-action-segmentation</link>
<guid>https://pythonbangalore.com/cluster-assumption-guided-timestamp-supervised-temporal-action-segmentation</guid>
<description><![CDATA[ Cluster Assumption Guided Timestamp Supervised Temporal Action Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Cluster Assumption Guided Timestamp Supervised Temporal Action Segmentation</media:keywords>
</item>

<item>
<title>Learning to Generate Realistic?Images?for Bit Depth Enhancement via Camera?Imaging?Processing</title>
<link>https://pythonbangalore.com/learning-to-generate-realistic-images-for-bit-depth-enhancement-via-camera-imaging-processing</link>
<guid>https://pythonbangalore.com/learning-to-generate-realistic-images-for-bit-depth-enhancement-via-camera-imaging-processing</guid>
<description><![CDATA[ Learning to Generate Realistic?Images?for Bit Depth Enhancement via Camera?Imaging?Processing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Learning to Generate Realistic?Images?for Bit Depth Enhancement via Camera?Imaging?Processing</media:keywords>
</item>

<item>
<title>One Shot Human Motion Transfer via Occlusion Robust Flow Prediction and Neural Texturing</title>
<link>https://pythonbangalore.com/one-shot-human-motion-transfer-via-occlusion-robust-flow-prediction-and-neural-texturing</link>
<guid>https://pythonbangalore.com/one-shot-human-motion-transfer-via-occlusion-robust-flow-prediction-and-neural-texturing</guid>
<description><![CDATA[ One Shot Human Motion Transfer via Occlusion Robust Flow Prediction and Neural Texturing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>One Shot Human Motion Transfer via Occlusion Robust Flow Prediction and Neural Texturing</media:keywords>
</item>

<item>
<title>Local Uncertainty Energy Transfer for Active Domain Adaptation</title>
<link>https://pythonbangalore.com/local-uncertainty-energy-transfer-for-active-domain-adaptation</link>
<guid>https://pythonbangalore.com/local-uncertainty-energy-transfer-for-active-domain-adaptation</guid>
<description><![CDATA[ Local Uncertainty Energy Transfer for Active Domain Adaptation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Local Uncertainty Energy Transfer for Active Domain Adaptation</media:keywords>
</item>

<item>
<title>Advancing Underwater Vision A Survey of Deep Learning Models for Underwater Object Recognition and Tracking</title>
<link>https://pythonbangalore.com/advancing-underwater-vision-a-survey-of-deep-learning-models-for-underwater-object-recognition-and-tracking</link>
<guid>https://pythonbangalore.com/advancing-underwater-vision-a-survey-of-deep-learning-models-for-underwater-object-recognition-and-tracking</guid>
<description><![CDATA[ Advancing Underwater Vision A Survey of Deep Learning Models for Underwater Object Recognition and Tracking ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Advancing Underwater Vision A Survey of Deep Learning Models for Underwater Object Recognition and Tracking</media:keywords>
</item>

<item>
<title>Dense Information Learning Based Semi Supervised Object Detection</title>
<link>https://pythonbangalore.com/dense-information-learning-based-semi-supervised-object-detection</link>
<guid>https://pythonbangalore.com/dense-information-learning-based-semi-supervised-object-detection</guid>
<description><![CDATA[ Dense Information Learning Based Semi Supervised Object Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dense Information Learning Based Semi Supervised Object Detection</media:keywords>
</item>

<item>
<title>TRTST Arbitrary High Quality Text Guided Style Transfer With Transformers</title>
<link>https://pythonbangalore.com/trtst-arbitrary-high-quality-text-guided-style-transfer-with-transformers</link>
<guid>https://pythonbangalore.com/trtst-arbitrary-high-quality-text-guided-style-transfer-with-transformers</guid>
<description><![CDATA[ TRTST Arbitrary High Quality Text Guided Style Transfer With Transformers ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>TRTST Arbitrary High Quality Text Guided Style Transfer With Transformers</media:keywords>
</item>

<item>
<title>Lighting Spectrum Optimization With Deep Learning for Moss Species Classification</title>
<link>https://pythonbangalore.com/lighting-spectrum-optimization-with-deep-learning-for-moss-species-classification</link>
<guid>https://pythonbangalore.com/lighting-spectrum-optimization-with-deep-learning-for-moss-species-classification</guid>
<description><![CDATA[ Lighting Spectrum Optimization With Deep Learning for Moss Species Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Lighting Spectrum Optimization With Deep Learning for Moss Species Classification</media:keywords>
</item>

<item>
<title>Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet</title>
<link>https://pythonbangalore.com/design-of-an-improved-method-for-visual-rendering-in-the-metaverse-using-ciem-and-msranet</link>
<guid>https://pythonbangalore.com/design-of-an-improved-method-for-visual-rendering-in-the-metaverse-using-ciem-and-msranet</guid>
<description><![CDATA[ Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet</media:keywords>
</item>

<item>
<title>Prototype Matching Learning for Incomplete Multi View Clustering</title>
<link>https://pythonbangalore.com/prototype-matching-learning-for-incomplete-multi-view-clustering</link>
<guid>https://pythonbangalore.com/prototype-matching-learning-for-incomplete-multi-view-clustering</guid>
<description><![CDATA[ Prototype Matching Learning for Incomplete Multi View Clustering ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Prototype Matching Learning for Incomplete Multi View Clustering</media:keywords>
</item>

<item>
<title>SARLBP Scale Adaptive Robust Local Binary Patterns for Texture Representation</title>
<link>https://pythonbangalore.com/sarlbp-scale-adaptive-robust-local-binary-patterns-for-texture-representation</link>
<guid>https://pythonbangalore.com/sarlbp-scale-adaptive-robust-local-binary-patterns-for-texture-representation</guid>
<description><![CDATA[ SARLBP Scale Adaptive Robust Local Binary Patterns for Texture Representation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>SARLBP Scale Adaptive Robust Local Binary Patterns for Texture Representation</media:keywords>
</item>

<item>
<title>Position Determination for Dynamic Scenes With Unsynchronized?Image?Sequences</title>
<link>https://pythonbangalore.com/position-determination-for-dynamic-scenes-with-unsynchronized-image-sequences</link>
<guid>https://pythonbangalore.com/position-determination-for-dynamic-scenes-with-unsynchronized-image-sequences</guid>
<description><![CDATA[ Position Determination for Dynamic Scenes With Unsynchronized?Image?Sequences ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Position Determination for Dynamic Scenes With Unsynchronized?Image?Sequences</media:keywords>
</item>

<item>
<title>Design of Approximate Adder With Reconfigurable Accuracy</title>
<link>https://pythonbangalore.com/design-of-approximate-adder-with-reconfigurable-accuracy</link>
<guid>https://pythonbangalore.com/design-of-approximate-adder-with-reconfigurable-accuracy</guid>
<description><![CDATA[ Design of Approximate Adder With Reconfigurable Accuracy ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Design of Approximate Adder With Reconfigurable Accuracy</media:keywords>
</item>

<item>
<title>Skin Lesion?Image?Segmentation Algorithm Based on MC UNet</title>
<link>https://pythonbangalore.com/skin-lesion-image-segmentation-algorithm-based-on-mc-unet</link>
<guid>https://pythonbangalore.com/skin-lesion-image-segmentation-algorithm-based-on-mc-unet</guid>
<description><![CDATA[ Skin Lesion?Image?Segmentation Algorithm Based on MC UNet ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Skin Lesion?Image?Segmentation Algorithm Based on MC UNet</media:keywords>
</item>

<item>
<title>Error Mask Adaptive Dynamic Filtering for?Image?Inpainting</title>
<link>https://pythonbangalore.com/error-mask-adaptive-dynamic-filtering-for-image-inpainting</link>
<guid>https://pythonbangalore.com/error-mask-adaptive-dynamic-filtering-for-image-inpainting</guid>
<description><![CDATA[ Error Mask Adaptive Dynamic Filtering for?Image?Inpainting ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Error Mask Adaptive Dynamic Filtering for?Image?Inpainting</media:keywords>
</item>

<item>
<title>Wearable Regionally Trained AI Enabled Bruxism Detection System</title>
<link>https://pythonbangalore.com/wearable-regionally-trained-ai-enabled-bruxism-detection-system</link>
<guid>https://pythonbangalore.com/wearable-regionally-trained-ai-enabled-bruxism-detection-system</guid>
<description><![CDATA[ Wearable Regionally Trained AI Enabled Bruxism Detection System ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Wearable Regionally Trained AI Enabled Bruxism Detection System</media:keywords>
</item>

<item>
<title>Image?Quality Assessments by Leveraging Diverse Visual Tasks</title>
<link>https://pythonbangalore.com/image-quality-assessments-by-leveraging-diverse-visual-tasks</link>
<guid>https://pythonbangalore.com/image-quality-assessments-by-leveraging-diverse-visual-tasks</guid>
<description><![CDATA[ Image?Quality Assessments by Leveraging Diverse Visual Tasks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Image?Quality Assessments by Leveraging Diverse Visual Tasks</media:keywords>
</item>

<item>
<title>Transformer Based Model for Monocular Visual Odometry A Video Understanding Approach</title>
<link>https://pythonbangalore.com/transformer-based-model-for-monocular-visual-odometry-a-video-understanding-approach</link>
<guid>https://pythonbangalore.com/transformer-based-model-for-monocular-visual-odometry-a-video-understanding-approach</guid>
<description><![CDATA[ Transformer Based Model for Monocular Visual Odometry A Video Understanding Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Transformer Based Model for Monocular Visual Odometry A Video Understanding Approach</media:keywords>
</item>

<item>
<title>Digital Ektypon Using an RTI Dome for Digitizing Squeezes and Epigraphic Research</title>
<link>https://pythonbangalore.com/digital-ektypon-using-an-rti-dome-for-digitizing-squeezes-and-epigraphic-research</link>
<guid>https://pythonbangalore.com/digital-ektypon-using-an-rti-dome-for-digitizing-squeezes-and-epigraphic-research</guid>
<description><![CDATA[ Digital Ektypon Using an RTI Dome for Digitizing Squeezes and Epigraphic Research ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Digital Ektypon Using an RTI Dome for Digitizing Squeezes and Epigraphic Research</media:keywords>
</item>

<item>
<title>Pavement Potholes Quantification A Study Based on 3D Point Cloud Analysis</title>
<link>https://pythonbangalore.com/pavement-potholes-quantification-a-study-based-on-3d-point-cloud-analysis</link>
<guid>https://pythonbangalore.com/pavement-potholes-quantification-a-study-based-on-3d-point-cloud-analysis</guid>
<description><![CDATA[ Pavement Potholes Quantification A Study Based on 3D Point Cloud Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Pavement Potholes Quantification A Study Based on 3D Point Cloud Analysis</media:keywords>
</item>

<item>
<title>Multi Modal Social Media Analytics A Sentiment Perception Driven Framework in Nanjing Districts</title>
<link>https://pythonbangalore.com/multi-modal-social-media-analytics-a-sentiment-perception-driven-framework-in-nanjing-districts</link>
<guid>https://pythonbangalore.com/multi-modal-social-media-analytics-a-sentiment-perception-driven-framework-in-nanjing-districts</guid>
<description><![CDATA[ Multi Modal Social Media Analytics A Sentiment Perception Driven Framework in Nanjing Districts ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi Modal Social Media Analytics A Sentiment Perception Driven Framework in Nanjing Districts</media:keywords>
</item>

<item>
<title>SViG A Similarity Thresholded Approach for Vision Graph Neural Networks</title>
<link>https://pythonbangalore.com/svig-a-similarity-thresholded-approach-for-vision-graph-neural-networks</link>
<guid>https://pythonbangalore.com/svig-a-similarity-thresholded-approach-for-vision-graph-neural-networks</guid>
<description><![CDATA[ SViG A Similarity Thresholded Approach for Vision Graph Neural Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>SViG A Similarity Thresholded Approach for Vision Graph Neural Networks</media:keywords>
</item>

<item>
<title>Asymmetric Adaptive Heterogeneous Network for Multi Modality Medical?Image?Segmentation</title>
<link>https://pythonbangalore.com/asymmetric-adaptive-heterogeneous-network-for-multi-modality-medical-image-segmentation</link>
<guid>https://pythonbangalore.com/asymmetric-adaptive-heterogeneous-network-for-multi-modality-medical-image-segmentation</guid>
<description><![CDATA[ Asymmetric Adaptive Heterogeneous Network for Multi Modality Medical?Image?Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Asymmetric Adaptive Heterogeneous Network for Multi Modality Medical?Image?Segmentation</media:keywords>
</item>

<item>
<title>FedBCD Federated Ultrasound Video and?Image?Joint Learning for Breast Cancer Diagnosis</title>
<link>https://pythonbangalore.com/fedbcd-federated-ultrasound-video-and-image-joint-learning-for-breast-cancer-diagnosis</link>
<guid>https://pythonbangalore.com/fedbcd-federated-ultrasound-video-and-image-joint-learning-for-breast-cancer-diagnosis</guid>
<description><![CDATA[ FedBCD Federated Ultrasound Video and?Image?Joint Learning for Breast Cancer Diagnosis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>FedBCD Federated Ultrasound Video and?Image?Joint Learning for Breast Cancer Diagnosis</media:keywords>
</item>

<item>
<title>Robot Simulation on Agri Field Point Cloud With Centimeter Resolution</title>
<link>https://pythonbangalore.com/robot-simulation-on-agri-field-point-cloud-with-centimeter-resolution</link>
<guid>https://pythonbangalore.com/robot-simulation-on-agri-field-point-cloud-with-centimeter-resolution</guid>
<description><![CDATA[ Robot Simulation on Agri Field Point Cloud With Centimeter Resolution ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Robot Simulation on Agri Field Point Cloud With Centimeter Resolution</media:keywords>
</item>

<item>
<title>A Simple Yet Effective Network Based on Vision Transformer for Camouflaged Object and Salient Object Detection</title>
<link>https://pythonbangalore.com/a-simple-yet-effective-network-based-on-vision-transformer-for-camouflaged-object-and-salient-object-detection</link>
<guid>https://pythonbangalore.com/a-simple-yet-effective-network-based-on-vision-transformer-for-camouflaged-object-and-salient-object-detection</guid>
<description><![CDATA[ A Simple Yet Effective Network Based on Vision Transformer for Camouflaged Object and Salient Object Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Simple Yet Effective Network Based on Vision Transformer for Camouflaged Object and Salient Object Detection</media:keywords>
</item>

<item>
<title>Micro Expression Recognition Using Convolutional Variational Attention Transformer ConVAT With Multihead Attention Mechanism</title>
<link>https://pythonbangalore.com/micro-expression-recognition-using-convolutional-variational-attention-transformer-convat-with-multihead-attention-mechanism</link>
<guid>https://pythonbangalore.com/micro-expression-recognition-using-convolutional-variational-attention-transformer-convat-with-multihead-attention-mechanism</guid>
<description><![CDATA[ Micro Expression Recognition Using Convolutional Variational Attention Transformer ConVAT With Multihead Attention Mechanism ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Micro Expression Recognition Using Convolutional Variational Attention Transformer ConVAT With Multihead Attention Mechanism</media:keywords>
</item>

<item>
<title>Enhancing Text Video Retrieval Performance With Low Salient but Discriminative Objects</title>
<link>https://pythonbangalore.com/enhancing-text-video-retrieval-performance-with-low-salient-but-discriminative-objects</link>
<guid>https://pythonbangalore.com/enhancing-text-video-retrieval-performance-with-low-salient-but-discriminative-objects</guid>
<description><![CDATA[ Enhancing Text Video Retrieval Performance With Low Salient but Discriminative Objects ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing Text Video Retrieval Performance With Low Salient but Discriminative Objects</media:keywords>
</item>

<item>
<title>A Novel MoCo Based Self Supervised Learning Framework for Solar Panel Defect Detection</title>
<link>https://pythonbangalore.com/a-novel-moco-based-self-supervised-learning-framework-for-solar-panel-defect-detection</link>
<guid>https://pythonbangalore.com/a-novel-moco-based-self-supervised-learning-framework-for-solar-panel-defect-detection</guid>
<description><![CDATA[ A Novel MoCo Based Self Supervised Learning Framework for Solar Panel Defect Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Novel MoCo Based Self Supervised Learning Framework for Solar Panel Defect Detection</media:keywords>
</item>

<item>
<title>An Attention Based Residual U Net for Tumour Segmentation Using Multi Modal MRI Brain?Images</title>
<link>https://pythonbangalore.com/an-attention-based-residual-u-net-for-tumour-segmentation-using-multi-modal-mri-brain-images</link>
<guid>https://pythonbangalore.com/an-attention-based-residual-u-net-for-tumour-segmentation-using-multi-modal-mri-brain-images</guid>
<description><![CDATA[ An Attention Based Residual U Net for Tumour Segmentation Using Multi Modal MRI Brain?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An Attention Based Residual U Net for Tumour Segmentation Using Multi Modal MRI Brain?Images</media:keywords>
</item>

<item>
<title>Application of Bayesian Optimization in Gripper Design for Effective Grasping</title>
<link>https://pythonbangalore.com/application-of-bayesian-optimization-in-gripper-design-for-effective-grasping</link>
<guid>https://pythonbangalore.com/application-of-bayesian-optimization-in-gripper-design-for-effective-grasping</guid>
<description><![CDATA[ Application of Bayesian Optimization in Gripper Design for Effective Grasping ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Application of Bayesian Optimization in Gripper Design for Effective Grasping</media:keywords>
</item>

<item>
<title>Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier</title>
<link>https://pythonbangalore.com/plant-leaf-identification-using-feature-fusion-of-wavelet-scattering-network-and-cnn-with-pca-classifier</link>
<guid>https://pythonbangalore.com/plant-leaf-identification-using-feature-fusion-of-wavelet-scattering-network-and-cnn-with-pca-classifier</guid>
<description><![CDATA[ Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier</media:keywords>
</item>

<item>
<title>Deep Learning for Traffic Scene Understanding A Review</title>
<link>https://pythonbangalore.com/deep-learning-for-traffic-scene-understanding-a-review</link>
<guid>https://pythonbangalore.com/deep-learning-for-traffic-scene-understanding-a-review</guid>
<description><![CDATA[ Deep Learning for Traffic Scene Understanding A Review ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deep Learning for Traffic Scene Understanding A Review</media:keywords>
</item>

<item>
<title>TLB Coalescing With Range Compressed Page Table for Embedded I O Devices</title>
<link>https://pythonbangalore.com/tlb-coalescing-with-range-compressed-page-table-for-embedded-i-o-devices</link>
<guid>https://pythonbangalore.com/tlb-coalescing-with-range-compressed-page-table-for-embedded-i-o-devices</guid>
<description><![CDATA[ TLB Coalescing With Range Compressed Page Table for Embedded I O Devices ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>TLB Coalescing With Range Compressed Page Table for Embedded I O Devices</media:keywords>
</item>

<item>
<title>Strategy Switch From All Reduce to Parameter Server for Faster Efficient Training</title>
<link>https://pythonbangalore.com/strategy-switch-from-all-reduce-to-parameter-server-for-faster-efficient-training</link>
<guid>https://pythonbangalore.com/strategy-switch-from-all-reduce-to-parameter-server-for-faster-efficient-training</guid>
<description><![CDATA[ Strategy Switch From All Reduce to Parameter Server for Faster Efficient Training ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Strategy Switch From All Reduce to Parameter Server for Faster Efficient Training</media:keywords>
</item>

<item>
<title>Energy Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT Enabled Consumer Electronics</title>
<link>https://pythonbangalore.com/energy-efficient-discrete-cosine-transform-architecture-using-reversible-logic-for-iot-enabled-consumer-electronics</link>
<guid>https://pythonbangalore.com/energy-efficient-discrete-cosine-transform-architecture-using-reversible-logic-for-iot-enabled-consumer-electronics</guid>
<description><![CDATA[ Energy Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT Enabled Consumer Electronics ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Energy Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT Enabled Consumer Electronics</media:keywords>
</item>

<item>
<title>SumGPT A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance</title>
<link>https://pythonbangalore.com/sumgpt-a-multimodal-framework-for-radiology-report-summarization-to-improve-clinical-performance</link>
<guid>https://pythonbangalore.com/sumgpt-a-multimodal-framework-for-radiology-report-summarization-to-improve-clinical-performance</guid>
<description><![CDATA[ SumGPT A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>SumGPT A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance</media:keywords>
</item>

<item>
<title>Deepfakes Detection by Iris Analysis</title>
<link>https://pythonbangalore.com/deepfakes-detection-by-iris-analysis</link>
<guid>https://pythonbangalore.com/deepfakes-detection-by-iris-analysis</guid>
<description><![CDATA[ Deepfakes Detection by Iris Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deepfakes Detection by Iris Analysis</media:keywords>
</item>

<item>
<title>Continuous Monitoring of Blood Pressure by Measuring Local Pulse Wave Velocity Using Wearable Micromachined Ultrasonic Probes</title>
<link>https://pythonbangalore.com/continuous-monitoring-of-blood-pressure-by-measuring-local-pulse-wave-velocity-using-wearable-micromachined-ultrasonic-probes</link>
<guid>https://pythonbangalore.com/continuous-monitoring-of-blood-pressure-by-measuring-local-pulse-wave-velocity-using-wearable-micromachined-ultrasonic-probes</guid>
<description><![CDATA[ Continuous Monitoring of Blood Pressure by Measuring Local Pulse Wave Velocity Using Wearable Micromachined Ultrasonic Probes ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Continuous Monitoring of Blood Pressure by Measuring Local Pulse Wave Velocity Using Wearable Micromachined Ultrasonic Probes</media:keywords>
</item>

<item>
<title>Detection and Classification of Teacher Rated Children?s Activity Levels Using Millimeter Wave Radar and Machine Learning A Pilot Study in a Real Primary School Environment</title>
<link>https://pythonbangalore.com/detection-and-classification-of-teacher-rated-children%3Fs-activity-levels-using-millimeter-wave-radar-and-machine-learning-a-pilot-study-in-a-real-primary-school-environment</link>
<guid>https://pythonbangalore.com/detection-and-classification-of-teacher-rated-children%3Fs-activity-levels-using-millimeter-wave-radar-and-machine-learning-a-pilot-study-in-a-real-primary-school-environment</guid>
<description><![CDATA[ Detection and Classification of Teacher Rated Children?s Activity Levels Using Millimeter Wave Radar and Machine Learning A Pilot Study in a Real Primary School Environment ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Detection and Classification of Teacher Rated Children?s Activity Levels Using Millimeter Wave Radar and Machine Learning A Pilot Study in a Real Primary School Environment</media:keywords>
</item>

<item>
<title>Face Detection Using Hybrid SNN ANN to?Process?Neuromorphic Event Stream</title>
<link>https://pythonbangalore.com/face-detection-using-hybrid-snn-ann-to-process-neuromorphic-event-stream</link>
<guid>https://pythonbangalore.com/face-detection-using-hybrid-snn-ann-to-process-neuromorphic-event-stream</guid>
<description><![CDATA[ Face Detection Using Hybrid SNN ANN to?Process?Neuromorphic Event Stream ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Face Detection Using Hybrid SNN ANN to?Process?Neuromorphic Event Stream</media:keywords>
</item>

<item>
<title>Onboard Person Retrieval System With Model Compression A Case Study on Nvidia Jetson Orin AGX</title>
<link>https://pythonbangalore.com/onboard-person-retrieval-system-with-model-compression-a-case-study-on-nvidia-jetson-orin-agx</link>
<guid>https://pythonbangalore.com/onboard-person-retrieval-system-with-model-compression-a-case-study-on-nvidia-jetson-orin-agx</guid>
<description><![CDATA[ Onboard Person Retrieval System With Model Compression A Case Study on Nvidia Jetson Orin AGX ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Onboard Person Retrieval System With Model Compression A Case Study on Nvidia Jetson Orin AGX</media:keywords>
</item>

<item>
<title>CTUSurv A Cell Aware Transformer Based Network With Uncertainty for Survival Prediction Using Whole Slide?Images</title>
<link>https://pythonbangalore.com/ctusurv-a-cell-aware-transformer-based-network-with-uncertainty-for-survival-prediction-using-whole-slide-images</link>
<guid>https://pythonbangalore.com/ctusurv-a-cell-aware-transformer-based-network-with-uncertainty-for-survival-prediction-using-whole-slide-images</guid>
<description><![CDATA[ CTUSurv A Cell Aware Transformer Based Network With Uncertainty for Survival Prediction Using Whole Slide?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>CTUSurv A Cell Aware Transformer Based Network With Uncertainty for Survival Prediction Using Whole Slide?Images</media:keywords>
</item>

<item>
<title>Research on Weld Identification and Defect Localization Based on an Improved Watershed Algorithm</title>
<link>https://pythonbangalore.com/research-on-weld-identification-and-defect-localization-based-on-an-improved-watershed-algorithm</link>
<guid>https://pythonbangalore.com/research-on-weld-identification-and-defect-localization-based-on-an-improved-watershed-algorithm</guid>
<description><![CDATA[ Research on Weld Identification and Defect Localization Based on an Improved Watershed Algorithm ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Research on Weld Identification and Defect Localization Based on an Improved Watershed Algorithm</media:keywords>
</item>

<item>
<title>A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare</title>
<link>https://pythonbangalore.com/a-novel-telerehabilitation-system-for-physical-exercise-monitoring-in-elderly-healthcare</link>
<guid>https://pythonbangalore.com/a-novel-telerehabilitation-system-for-physical-exercise-monitoring-in-elderly-healthcare</guid>
<description><![CDATA[ A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare</media:keywords>
</item>

<item>
<title>Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN Edge IoT by Leveraging Machine Learning</title>
<link>https://pythonbangalore.com/design-a-robust-ddos-attack-detection-and-mitigation-scheme-in-sdn-edge-iot-by-leveraging-machine-learning</link>
<guid>https://pythonbangalore.com/design-a-robust-ddos-attack-detection-and-mitigation-scheme-in-sdn-edge-iot-by-leveraging-machine-learning</guid>
<description><![CDATA[ Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN Edge IoT by Leveraging Machine Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN Edge IoT by Leveraging Machine Learning</media:keywords>
</item>

<item>
<title>Advancing Sequential Manga Colorization for AR Through Data Synthesis</title>
<link>https://pythonbangalore.com/advancing-sequential-manga-colorization-for-ar-through-data-synthesis</link>
<guid>https://pythonbangalore.com/advancing-sequential-manga-colorization-for-ar-through-data-synthesis</guid>
<description><![CDATA[ Advancing Sequential Manga Colorization for AR Through Data Synthesis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Advancing Sequential Manga Colorization for AR Through Data Synthesis</media:keywords>
</item>

<item>
<title>GNN EADD Graph Neural Network Based E Commerce Anomaly Detection via Dual Stage Learning</title>
<link>https://pythonbangalore.com/gnn-eadd-graph-neural-network-based-e-commerce-anomaly-detection-via-dual-stage-learning</link>
<guid>https://pythonbangalore.com/gnn-eadd-graph-neural-network-based-e-commerce-anomaly-detection-via-dual-stage-learning</guid>
<description><![CDATA[ GNN EADD Graph Neural Network Based E Commerce Anomaly Detection via Dual Stage Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>GNN EADD Graph Neural Network Based E Commerce Anomaly Detection via Dual Stage Learning</media:keywords>
</item>

<item>
<title>The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision Making</title>
<link>https://pythonbangalore.com/the-role-of-big-data-analytics-in-revolutionizing-diabetes-management-and-healthcare-decision-making</link>
<guid>https://pythonbangalore.com/the-role-of-big-data-analytics-in-revolutionizing-diabetes-management-and-healthcare-decision-making</guid>
<description><![CDATA[ The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision Making ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision Making</media:keywords>
</item>

<item>
<title>Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction</title>
<link>https://pythonbangalore.com/spatiotemporal-implicit-neural-representation-for-unsupervised-dynamic-mri-reconstruction</link>
<guid>https://pythonbangalore.com/spatiotemporal-implicit-neural-representation-for-unsupervised-dynamic-mri-reconstruction</guid>
<description><![CDATA[ Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction</media:keywords>
</item>

<item>
<title>Transcranial Photoacoustic Tomography De Aberrated Using Boundary Elements</title>
<link>https://pythonbangalore.com/transcranial-photoacoustic-tomography-de-aberrated-using-boundary-elements</link>
<guid>https://pythonbangalore.com/transcranial-photoacoustic-tomography-de-aberrated-using-boundary-elements</guid>
<description><![CDATA[ Transcranial Photoacoustic Tomography De Aberrated Using Boundary Elements ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Transcranial Photoacoustic Tomography De Aberrated Using Boundary Elements</media:keywords>
</item>

<item>
<title>High Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks</title>
<link>https://pythonbangalore.com/high-resolution-maps-of-left-atrial-displacements-and-strains-estimated-with-3d-cine-mri-using-online-learning-neural-networks</link>
<guid>https://pythonbangalore.com/high-resolution-maps-of-left-atrial-displacements-and-strains-estimated-with-3d-cine-mri-using-online-learning-neural-networks</guid>
<description><![CDATA[ High Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>High Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks</media:keywords>
</item>

<item>
<title>RMHA Net Robust Optic Disc and Optic Cup Segmentation Based on Residual Multiscale Feature Extraction With Hybrid Attention Networks</title>
<link>https://pythonbangalore.com/rmha-net-robust-optic-disc-and-optic-cup-segmentation-based-on-residual-multiscale-feature-extraction-with-hybrid-attention-networks</link>
<guid>https://pythonbangalore.com/rmha-net-robust-optic-disc-and-optic-cup-segmentation-based-on-residual-multiscale-feature-extraction-with-hybrid-attention-networks</guid>
<description><![CDATA[ RMHA Net Robust Optic Disc and Optic Cup Segmentation Based on Residual Multiscale Feature Extraction With Hybrid Attention Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>RMHA Net Robust Optic Disc and Optic Cup Segmentation Based on Residual Multiscale Feature Extraction With Hybrid Attention Networks</media:keywords>
</item>

<item>
<title>High Level Design and Implementation of a Configurable Cryptosystem With a Novel Chaos Enhanced Function</title>
<link>https://pythonbangalore.com/high-level-design-and-implementation-of-a-configurable-cryptosystem-with-a-novel-chaos-enhanced-function</link>
<guid>https://pythonbangalore.com/high-level-design-and-implementation-of-a-configurable-cryptosystem-with-a-novel-chaos-enhanced-function</guid>
<description><![CDATA[ High Level Design and Implementation of a Configurable Cryptosystem With a Novel Chaos Enhanced Function ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>High Level Design and Implementation of a Configurable Cryptosystem With a Novel Chaos Enhanced Function</media:keywords>
</item>

<item>
<title>Real Time Stitching Algorithm of Vehicle Side View?Image?Based on Multi Region Fast Phase Correlation</title>
<link>https://pythonbangalore.com/real-time-stitching-algorithm-of-vehicle-side-view-image-based-on-multi-region-fast-phase-correlation</link>
<guid>https://pythonbangalore.com/real-time-stitching-algorithm-of-vehicle-side-view-image-based-on-multi-region-fast-phase-correlation</guid>
<description><![CDATA[ Real Time Stitching Algorithm of Vehicle Side View?Image?Based on Multi Region Fast Phase Correlation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Real Time Stitching Algorithm of Vehicle Side View?Image?Based on Multi Region Fast Phase Correlation</media:keywords>
</item>

<item>
<title>LATrack Limited Attention for Visual Object Tracking</title>
<link>https://pythonbangalore.com/latrack-limited-attention-for-visual-object-tracking</link>
<guid>https://pythonbangalore.com/latrack-limited-attention-for-visual-object-tracking</guid>
<description><![CDATA[ LATrack Limited Attention for Visual Object Tracking ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>LATrack Limited Attention for Visual Object Tracking</media:keywords>
</item>

<item>
<title>A Spatial Transformation Based Next Frame Predictor</title>
<link>https://pythonbangalore.com/a-spatial-transformation-based-next-frame-predictor</link>
<guid>https://pythonbangalore.com/a-spatial-transformation-based-next-frame-predictor</guid>
<description><![CDATA[ A Spatial Transformation Based Next Frame Predictor ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Spatial Transformation Based Next Frame Predictor</media:keywords>
</item>

<item>
<title>Research on Detecting AI Generated Forged Handwritten Signatures via Data Efficient?Image?Transformers</title>
<link>https://pythonbangalore.com/research-on-detecting-ai-generated-forged-handwritten-signatures-via-data-efficient-image-transformers</link>
<guid>https://pythonbangalore.com/research-on-detecting-ai-generated-forged-handwritten-signatures-via-data-efficient-image-transformers</guid>
<description><![CDATA[ Research on Detecting AI Generated Forged Handwritten Signatures via Data Efficient?Image?Transformers ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Research on Detecting AI Generated Forged Handwritten Signatures via Data Efficient?Image?Transformers</media:keywords>
</item>

<item>
<title>Exploring Contrastive Pre Training for Domain Connections in Medical?Image?Segmentation</title>
<link>https://pythonbangalore.com/exploring-contrastive-pre-training-for-domain-connections-in-medical-image-segmentation</link>
<guid>https://pythonbangalore.com/exploring-contrastive-pre-training-for-domain-connections-in-medical-image-segmentation</guid>
<description><![CDATA[ Exploring Contrastive Pre Training for Domain Connections in Medical?Image?Segmentation ]]></description>
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<media:keywords>Exploring Contrastive Pre Training for Domain Connections in Medical?Image?Segmentation</media:keywords>
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<item>
<title>CGDINet A Deep Learning Based Salient Object Detection Algorithm</title>
<link>https://pythonbangalore.com/cgdinet-a-deep-learning-based-salient-object-detection-algorithm</link>
<guid>https://pythonbangalore.com/cgdinet-a-deep-learning-based-salient-object-detection-algorithm</guid>
<description><![CDATA[ CGDINet A Deep Learning Based Salient Object Detection Algorithm ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>CGDINet A Deep Learning Based Salient Object Detection Algorithm</media:keywords>
</item>

<item>
<title>Refining Pseudo Labeling via Multi Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection</title>
<link>https://pythonbangalore.com/refining-pseudo-labeling-via-multi-granularity-confidence-alignment-for-unsupervised-cross-domain-object-detection</link>
<guid>https://pythonbangalore.com/refining-pseudo-labeling-via-multi-granularity-confidence-alignment-for-unsupervised-cross-domain-object-detection</guid>
<description><![CDATA[ Refining Pseudo Labeling via Multi Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Refining Pseudo Labeling via Multi Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection</media:keywords>
</item>

<item>
<title>Early Diagnosis of Autism A Review of Video Based Motion Analysis and Deep Learning Techniques</title>
<link>https://pythonbangalore.com/early-diagnosis-of-autism-a-review-of-video-based-motion-analysis-and-deep-learning-techniques</link>
<guid>https://pythonbangalore.com/early-diagnosis-of-autism-a-review-of-video-based-motion-analysis-and-deep-learning-techniques</guid>
<description><![CDATA[ Early Diagnosis of Autism A Review of Video Based Motion Analysis and Deep Learning Techniques ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Early Diagnosis of Autism A Review of Video Based Motion Analysis and Deep Learning Techniques</media:keywords>
</item>

<item>
<title>MA SAM A Multi Atlas Guided SAM Using Pseudo Mask Prompts Without Manual Annotation for Spine?Image?Segmentation</title>
<link>https://pythonbangalore.com/ma-sam-a-multi-atlas-guided-sam-using-pseudo-mask-prompts-without-manual-annotation-for-spine-image-segmentation</link>
<guid>https://pythonbangalore.com/ma-sam-a-multi-atlas-guided-sam-using-pseudo-mask-prompts-without-manual-annotation-for-spine-image-segmentation</guid>
<description><![CDATA[ MA SAM A Multi Atlas Guided SAM Using Pseudo Mask Prompts Without Manual Annotation for Spine?Image?Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>MA SAM A Multi Atlas Guided SAM Using Pseudo Mask Prompts Without Manual Annotation for Spine?Image?Segmentation</media:keywords>
</item>

<item>
<title>An Ultrasound Based Non Invasive Blood Pressure Estimation Method Based on Optimal Vascular Wall Tracking Position</title>
<link>https://pythonbangalore.com/an-ultrasound-based-non-invasive-blood-pressure-estimation-method-based-on-optimal-vascular-wall-tracking-position</link>
<guid>https://pythonbangalore.com/an-ultrasound-based-non-invasive-blood-pressure-estimation-method-based-on-optimal-vascular-wall-tracking-position</guid>
<description><![CDATA[ An Ultrasound Based Non Invasive Blood Pressure Estimation Method Based on Optimal Vascular Wall Tracking Position ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>An Ultrasound Based Non Invasive Blood Pressure Estimation Method Based on Optimal Vascular Wall Tracking Position</media:keywords>
</item>

<item>
<title>Breast Cancer Detection Using Mammography?Image?Processing?to Deep Learning</title>
<link>https://pythonbangalore.com/breast-cancer-detection-using-mammography-image-processing-to-deep-learning</link>
<guid>https://pythonbangalore.com/breast-cancer-detection-using-mammography-image-processing-to-deep-learning</guid>
<description><![CDATA[ Breast Cancer Detection Using Mammography?Image?Processing?to Deep Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Breast Cancer Detection Using Mammography?Image?Processing?to Deep Learning</media:keywords>
</item>

<item>
<title>Drone View Haze Removal via Regional Saturation Value Translation and Soft Segmentation</title>
<link>https://pythonbangalore.com/drone-view-haze-removal-via-regional-saturation-value-translation-and-soft-segmentation</link>
<guid>https://pythonbangalore.com/drone-view-haze-removal-via-regional-saturation-value-translation-and-soft-segmentation</guid>
<description><![CDATA[ Drone View Haze Removal via Regional Saturation Value Translation and Soft Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Drone View Haze Removal via Regional Saturation Value Translation and Soft Segmentation</media:keywords>
</item>

<item>
<title>IoT Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning</title>
<link>https://pythonbangalore.com/iot-based-multisensors-fusion-for-activity-recognition-via-key-features-and-hybrid-transfer-learning</link>
<guid>https://pythonbangalore.com/iot-based-multisensors-fusion-for-activity-recognition-via-key-features-and-hybrid-transfer-learning</guid>
<description><![CDATA[ IoT Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>IoT Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning</media:keywords>
</item>

<item>
<title>INRNet Neighborhood Re Ranking Based Method for Pedestrian Text Image?Retrieval</title>
<link>https://pythonbangalore.com/inrnet-neighborhood-re-ranking-based-method-for-pedestrian-text-image-retrieval</link>
<guid>https://pythonbangalore.com/inrnet-neighborhood-re-ranking-based-method-for-pedestrian-text-image-retrieval</guid>
<description><![CDATA[ INRNet Neighborhood Re Ranking Based Method for Pedestrian Text Image?Retrieval ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>INRNet Neighborhood Re Ranking Based Method for Pedestrian Text Image?Retrieval</media:keywords>
</item>

<item>
<title>The Impact of Metacognitive Capabilities on Product and?Process?Innovations in Supply Chain Relationships</title>
<link>https://pythonbangalore.com/the-impact-of-metacognitive-capabilities-on-product-and-process-innovations-in-supply-chain-relationships</link>
<guid>https://pythonbangalore.com/the-impact-of-metacognitive-capabilities-on-product-and-process-innovations-in-supply-chain-relationships</guid>
<description><![CDATA[ The Impact of Metacognitive Capabilities on Product and?Process?Innovations in Supply Chain Relationships ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>The Impact of Metacognitive Capabilities on Product and?Process?Innovations in Supply Chain Relationships</media:keywords>
</item>

<item>
<title>Single Sided Magnetic Particle?Imaging?Device With Offset Field Based Spatial Encoding</title>
<link>https://pythonbangalore.com/single-sided-magnetic-particle-imaging-device-with-offset-field-based-spatial-encoding</link>
<guid>https://pythonbangalore.com/single-sided-magnetic-particle-imaging-device-with-offset-field-based-spatial-encoding</guid>
<description><![CDATA[ Single Sided Magnetic Particle?Imaging?Device With Offset Field Based Spatial Encoding ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Single Sided Magnetic Particle?Imaging?Device With Offset Field Based Spatial Encoding</media:keywords>
</item>

<item>
<title>MISC Ultra Low Bitrate?Image?Semantic Compression Driven by Large Multimodal Model</title>
<link>https://pythonbangalore.com/misc-ultra-low-bitrate-image-semantic-compression-driven-by-large-multimodal-model</link>
<guid>https://pythonbangalore.com/misc-ultra-low-bitrate-image-semantic-compression-driven-by-large-multimodal-model</guid>
<description><![CDATA[ MISC Ultra Low Bitrate?Image?Semantic Compression Driven by Large Multimodal Model ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>MISC Ultra Low Bitrate?Image?Semantic Compression Driven by Large Multimodal Model</media:keywords>
</item>

<item>
<title>Research on Multi Channel Spectral Prediction Model for Printed Matter Based on HMSSA BP Neural Network</title>
<link>https://pythonbangalore.com/research-on-multi-channel-spectral-prediction-model-for-printed-matter-based-on-hmssa-bp-neural-network</link>
<guid>https://pythonbangalore.com/research-on-multi-channel-spectral-prediction-model-for-printed-matter-based-on-hmssa-bp-neural-network</guid>
<description><![CDATA[ Research on Multi Channel Spectral Prediction Model for Printed Matter Based on HMSSA BP Neural Network ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Research on Multi Channel Spectral Prediction Model for Printed Matter Based on HMSSA BP Neural Network</media:keywords>
</item>

<item>
<title>DuPMAM An Efficient Dual Perception Framework Equipped With a Sharp Testing Strategy for Point Cloud Analysis</title>
<link>https://pythonbangalore.com/dupmam-an-efficient-dual-perception-framework-equipped-with-a-sharp-testing-strategy-for-point-cloud-analysis</link>
<guid>https://pythonbangalore.com/dupmam-an-efficient-dual-perception-framework-equipped-with-a-sharp-testing-strategy-for-point-cloud-analysis</guid>
<description><![CDATA[ DuPMAM An Efficient Dual Perception Framework Equipped With a Sharp Testing Strategy for Point Cloud Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DuPMAM An Efficient Dual Perception Framework Equipped With a Sharp Testing Strategy for Point Cloud Analysis</media:keywords>
</item>

<item>
<title>Structure Aware Pre Selected Neural Rendering for Light Field Reconstruction</title>
<link>https://pythonbangalore.com/structure-aware-pre-selected-neural-rendering-for-light-field-reconstruction</link>
<guid>https://pythonbangalore.com/structure-aware-pre-selected-neural-rendering-for-light-field-reconstruction</guid>
<description><![CDATA[ Structure Aware Pre Selected Neural Rendering for Light Field Reconstruction ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Structure Aware Pre Selected Neural Rendering for Light Field Reconstruction</media:keywords>
</item>

<item>
<title>VBVT Net VOI Based VVBP Tensor Network for High Attenuation Artifact Suppression in Digital Breast Tomosynthesis?Imaging</title>
<link>https://pythonbangalore.com/vbvt-net-voi-based-vvbp-tensor-network-for-high-attenuation-artifact-suppression-in-digital-breast-tomosynthesis-imaging</link>
<guid>https://pythonbangalore.com/vbvt-net-voi-based-vvbp-tensor-network-for-high-attenuation-artifact-suppression-in-digital-breast-tomosynthesis-imaging</guid>
<description><![CDATA[ VBVT Net VOI Based VVBP Tensor Network for High Attenuation Artifact Suppression in Digital Breast Tomosynthesis?Imaging ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>VBVT Net VOI Based VVBP Tensor Network for High Attenuation Artifact Suppression in Digital Breast Tomosynthesis?Imaging</media:keywords>
</item>

<item>
<title>Two Symbol Expansion Methods and Their Application to Reversible Data Hiding</title>
<link>https://pythonbangalore.com/two-symbol-expansion-methods-and-their-application-to-reversible-data-hiding</link>
<guid>https://pythonbangalore.com/two-symbol-expansion-methods-and-their-application-to-reversible-data-hiding</guid>
<description><![CDATA[ Two Symbol Expansion Methods and Their Application to Reversible Data Hiding ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Two Symbol Expansion Methods and Their Application to Reversible Data Hiding</media:keywords>
</item>

<item>
<title>Leveraging Lightweight Hybrid Ensemble Distillation HED for Suspect Identification With Face Recognition</title>
<link>https://pythonbangalore.com/leveraging-lightweight-hybrid-ensemble-distillation-hed-for-suspect-identification-with-face-recognition</link>
<guid>https://pythonbangalore.com/leveraging-lightweight-hybrid-ensemble-distillation-hed-for-suspect-identification-with-face-recognition</guid>
<description><![CDATA[ Leveraging Lightweight Hybrid Ensemble Distillation HED for Suspect Identification With Face Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Leveraging Lightweight Hybrid Ensemble Distillation HED for Suspect Identification With Face Recognition</media:keywords>
</item>

<item>
<title>FFDL Feature Fusion Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection</title>
<link>https://pythonbangalore.com/ffdl-feature-fusion-based-deep-learning-method-utilizing-federated-learning-for-forged-face-detection</link>
<guid>https://pythonbangalore.com/ffdl-feature-fusion-based-deep-learning-method-utilizing-federated-learning-for-forged-face-detection</guid>
<description><![CDATA[ FFDL Feature Fusion Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>FFDL Feature Fusion Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection</media:keywords>
</item>

<item>
<title>Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in?Image?Steganography</title>
<link>https://pythonbangalore.com/enhancing-secure-medical-data-communication-through-integration-of-lsb-and-dct-for-robust-analysis-in-image-steganography</link>
<guid>https://pythonbangalore.com/enhancing-secure-medical-data-communication-through-integration-of-lsb-and-dct-for-robust-analysis-in-image-steganography</guid>
<description><![CDATA[ Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in?Image?Steganography ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in?Image?Steganography</media:keywords>
</item>

<item>
<title>Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D Echo Fusion Algorithm in Echocardiogram Videos</title>
<link>https://pythonbangalore.com/enhanced-heart-disease-classification-using-dual-attention-mechanisms-and-3d-echo-fusion-algorithm-in-echocardiogram-videos</link>
<guid>https://pythonbangalore.com/enhanced-heart-disease-classification-using-dual-attention-mechanisms-and-3d-echo-fusion-algorithm-in-echocardiogram-videos</guid>
<description><![CDATA[ Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D Echo Fusion Algorithm in Echocardiogram Videos ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D Echo Fusion Algorithm in Echocardiogram Videos</media:keywords>
</item>

<item>
<title>Frequency and Texture Aware Multi Domain Feature Fusion for Remote Sensing Scene Classification</title>
<link>https://pythonbangalore.com/frequency-and-texture-aware-multi-domain-feature-fusion-for-remote-sensing-scene-classification</link>
<guid>https://pythonbangalore.com/frequency-and-texture-aware-multi-domain-feature-fusion-for-remote-sensing-scene-classification</guid>
<description><![CDATA[ Frequency and Texture Aware Multi Domain Feature Fusion for Remote Sensing Scene Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Frequency and Texture Aware Multi Domain Feature Fusion for Remote Sensing Scene Classification</media:keywords>
</item>

<item>
<title>An Invariant Geometric Feature for Inter Subject Lumbar Curve Alignment to Detect Spondylolisthesis</title>
<link>https://pythonbangalore.com/an-invariant-geometric-feature-for-inter-subject-lumbar-curve-alignment-to-detect-spondylolisthesis</link>
<guid>https://pythonbangalore.com/an-invariant-geometric-feature-for-inter-subject-lumbar-curve-alignment-to-detect-spondylolisthesis</guid>
<description><![CDATA[ An Invariant Geometric Feature for Inter Subject Lumbar Curve Alignment to Detect Spondylolisthesis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An Invariant Geometric Feature for Inter Subject Lumbar Curve Alignment to Detect Spondylolisthesis</media:keywords>
</item>

<item>
<title>Improved Motion Correction in Dynamic Contrast Enhanced MRI Using Low Rank With Soft Weighting</title>
<link>https://pythonbangalore.com/improved-motion-correction-in-dynamic-contrast-enhanced-mri-using-low-rank-with-soft-weighting</link>
<guid>https://pythonbangalore.com/improved-motion-correction-in-dynamic-contrast-enhanced-mri-using-low-rank-with-soft-weighting</guid>
<description><![CDATA[ Improved Motion Correction in Dynamic Contrast Enhanced MRI Using Low Rank With Soft Weighting ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Improved Motion Correction in Dynamic Contrast Enhanced MRI Using Low Rank With Soft Weighting</media:keywords>
</item>

<item>
<title>Segmenting the Inferior Alveolar Canal in CBCTs Volumes The ToothFairy Challenge</title>
<link>https://pythonbangalore.com/segmenting-the-inferior-alveolar-canal-in-cbcts-volumes-the-toothfairy-challenge</link>
<guid>https://pythonbangalore.com/segmenting-the-inferior-alveolar-canal-in-cbcts-volumes-the-toothfairy-challenge</guid>
<description><![CDATA[ Segmenting the Inferior Alveolar Canal in CBCTs Volumes The ToothFairy Challenge ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Segmenting the Inferior Alveolar Canal in CBCTs Volumes The ToothFairy Challenge</media:keywords>
</item>

<item>
<title>Three Dimensional Whole Body Small Animal Photoacoustic Tomography Using a Multi View Fabry Perot Scanner</title>
<link>https://pythonbangalore.com/three-dimensional-whole-body-small-animal-photoacoustic-tomography-using-a-multi-view-fabry-perot-scanner</link>
<guid>https://pythonbangalore.com/three-dimensional-whole-body-small-animal-photoacoustic-tomography-using-a-multi-view-fabry-perot-scanner</guid>
<description><![CDATA[ Three Dimensional Whole Body Small Animal Photoacoustic Tomography Using a Multi View Fabry Perot Scanner ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Three Dimensional Whole Body Small Animal Photoacoustic Tomography Using a Multi View Fabry Perot Scanner</media:keywords>
</item>

<item>
<title>Multi Perspective Pseudo Label Generation and Confidence Weighted Training for Semi Supervised Semantic Segmentation</title>
<link>https://pythonbangalore.com/multi-perspective-pseudo-label-generation-and-confidence-weighted-training-for-semi-supervised-semantic-segmentation</link>
<guid>https://pythonbangalore.com/multi-perspective-pseudo-label-generation-and-confidence-weighted-training-for-semi-supervised-semantic-segmentation</guid>
<description><![CDATA[ Multi Perspective Pseudo Label Generation and Confidence Weighted Training for Semi Supervised Semantic Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi Perspective Pseudo Label Generation and Confidence Weighted Training for Semi Supervised Semantic Segmentation</media:keywords>
</item>

<item>
<title>Adaptive Fusion Learning for Compositional Zero Shot Recognition</title>
<link>https://pythonbangalore.com/adaptive-fusion-learning-for-compositional-zero-shot-recognition</link>
<guid>https://pythonbangalore.com/adaptive-fusion-learning-for-compositional-zero-shot-recognition</guid>
<description><![CDATA[ Adaptive Fusion Learning for Compositional Zero Shot Recognition ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
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</item>

<item>
<title>DIP Diffusion Learning of Inconsistency Pattern for General DeepFake Detection</title>
<link>https://pythonbangalore.com/dip-diffusion-learning-of-inconsistency-pattern-for-general-deepfake-detection</link>
<guid>https://pythonbangalore.com/dip-diffusion-learning-of-inconsistency-pattern-for-general-deepfake-detection</guid>
<description><![CDATA[ DIP Diffusion Learning of Inconsistency Pattern for General DeepFake Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DIP Diffusion Learning of Inconsistency Pattern for General DeepFake Detection</media:keywords>
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<item>
<title>Federated Hallucination Translation and Source Free Regularization Adaptation in Decentralized Domain Adaptation for Foggy Scene Understanding</title>
<link>https://pythonbangalore.com/federated-hallucination-translation-and-source-free-regularization-adaptation-in-decentralized-domain-adaptation-for-foggy-scene-understanding</link>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Federated Hallucination Translation and Source Free Regularization Adaptation in Decentralized Domain Adaptation for Foggy Scene Understanding</media:keywords>
</item>

<item>
<title>Analysis of the Virtual Reality User Experience Improvement Through Human Vision Adjustment Using Diopter Dial</title>
<link>https://pythonbangalore.com/analysis-of-the-virtual-reality-user-experience-improvement-through-human-vision-adjustment-using-diopter-dial</link>
<guid>https://pythonbangalore.com/analysis-of-the-virtual-reality-user-experience-improvement-through-human-vision-adjustment-using-diopter-dial</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Analysis of the Virtual Reality User Experience Improvement Through Human Vision Adjustment Using Diopter Dial</media:keywords>
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<item>
<title>Computer Vision Based Framework for Data Extraction From Heterogeneous Financial Tables A Comprehensive Approach to Unlocking Financial Insights</title>
<link>https://pythonbangalore.com/computer-vision-based-framework-for-data-extraction-from-heterogeneous-financial-tables-a-comprehensive-approach-to-unlocking-financial-insights</link>
<guid>https://pythonbangalore.com/computer-vision-based-framework-for-data-extraction-from-heterogeneous-financial-tables-a-comprehensive-approach-to-unlocking-financial-insights</guid>
<description><![CDATA[ Computer Vision Based Framework for Data Extraction From Heterogeneous Financial Tables A Comprehensive Approach to Unlocking Financial Insights ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Computer Vision Based Framework for Data Extraction From Heterogeneous Financial Tables A Comprehensive Approach to Unlocking Financial Insights</media:keywords>
</item>

<item>
<title>Reliable 2D?3D Registration in Dynamic Stereo Radiography With Energy Barrier Constraints</title>
<link>https://pythonbangalore.com/reliable-2d%3F3d-registration-in-dynamic-stereo-radiography-with-energy-barrier-constraints</link>
<guid>https://pythonbangalore.com/reliable-2d%3F3d-registration-in-dynamic-stereo-radiography-with-energy-barrier-constraints</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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</item>

<item>
<title>SPDFusionA Semantic Prior Knowledge Driven Method for Infrared and Visible?Image?Fusion</title>
<link>https://pythonbangalore.com/spdfusiona-semantic-prior-knowledge-driven-method-for-infrared-and-visible-image-fusion</link>
<guid>https://pythonbangalore.com/spdfusiona-semantic-prior-knowledge-driven-method-for-infrared-and-visible-image-fusion</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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</item>

<item>
<title>Relation Inference Enhancement Network for Visual Commonsense Reasoning</title>
<link>https://pythonbangalore.com/relation-inference-enhancement-network-for-visual-commonsense-reasoning</link>
<guid>https://pythonbangalore.com/relation-inference-enhancement-network-for-visual-commonsense-reasoning</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Relation Inference Enhancement Network for Visual Commonsense Reasoning</media:keywords>
</item>

<item>
<title>Combating Noisy Labels by Alleviating the Memorization of DNNs to Noisy Labels</title>
<link>https://pythonbangalore.com/combating-noisy-labels-by-alleviating-the-memorization-of-dnns-to-noisy-labels</link>
<guid>https://pythonbangalore.com/combating-noisy-labels-by-alleviating-the-memorization-of-dnns-to-noisy-labels</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Combating Noisy Labels by Alleviating the Memorization of DNNs to Noisy Labels</media:keywords>
</item>

<item>
<title>MSDLF K A Multimodal Feature Learning Approach for Sentiment Analysis in Korean Incorporating Text and Speech</title>
<link>https://pythonbangalore.com/msdlf-k-a-multimodal-feature-learning-approach-for-sentiment-analysis-in-korean-incorporating-text-and-speech</link>
<guid>https://pythonbangalore.com/msdlf-k-a-multimodal-feature-learning-approach-for-sentiment-analysis-in-korean-incorporating-text-and-speech</guid>
<description><![CDATA[ MSDLF K A Multimodal Feature Learning Approach for Sentiment Analysis in Korean Incorporating Text and Speech ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>MSDLF K A Multimodal Feature Learning Approach for Sentiment Analysis in Korean Incorporating Text and Speech</media:keywords>
</item>

<item>
<title>Content Aware Tunable Selective Encryption for HEVC Using Sine Modular Chaotification Model</title>
<link>https://pythonbangalore.com/content-aware-tunable-selective-encryption-for-hevc-using-sine-modular-chaotification-model</link>
<guid>https://pythonbangalore.com/content-aware-tunable-selective-encryption-for-hevc-using-sine-modular-chaotification-model</guid>
<description><![CDATA[ Content Aware Tunable Selective Encryption for HEVC Using Sine Modular Chaotification Model ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Content Aware Tunable Selective Encryption for HEVC Using Sine Modular Chaotification Model</media:keywords>
</item>

<item>
<title>HNR ISC Hybrid Neural Representation for?Image?Set Compression</title>
<link>https://pythonbangalore.com/hnr-isc-hybrid-neural-representation-for-image-set-compression</link>
<guid>https://pythonbangalore.com/hnr-isc-hybrid-neural-representation-for-image-set-compression</guid>
<description><![CDATA[ HNR ISC Hybrid Neural Representation for?Image?Set Compression ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>HNR ISC Hybrid Neural Representation for?Image?Set Compression</media:keywords>
</item>

<item>
<title>Context Enriched Contrastive Loss Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework</title>
<link>https://pythonbangalore.com/context-enriched-contrastive-loss-enhancing-presentation-of-inherent-sample-connections-in-contrastive-learning-framework</link>
<guid>https://pythonbangalore.com/context-enriched-contrastive-loss-enhancing-presentation-of-inherent-sample-connections-in-contrastive-learning-framework</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Context Enriched Contrastive Loss Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework</media:keywords>
</item>

<item>
<title>Learning Distinguishable Degradation Maps for Unknown?Image?Super Resolution</title>
<link>https://pythonbangalore.com/learning-distinguishable-degradation-maps-for-unknown-image-super-resolution</link>
<guid>https://pythonbangalore.com/learning-distinguishable-degradation-maps-for-unknown-image-super-resolution</guid>
<description><![CDATA[ Learning Distinguishable Degradation Maps for Unknown?Image?Super Resolution ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Learning Distinguishable Degradation Maps for Unknown?Image?Super Resolution</media:keywords>
</item>

<item>
<title>DiffUIE Learning Latent Global Priors in Diffusion Models for Underwater?Image?Enhancement</title>
<link>https://pythonbangalore.com/diffuie-learning-latent-global-priors-in-diffusion-models-for-underwater-image-enhancement</link>
<guid>https://pythonbangalore.com/diffuie-learning-latent-global-priors-in-diffusion-models-for-underwater-image-enhancement</guid>
<description><![CDATA[ DiffUIE Learning Latent Global Priors in Diffusion Models for Underwater?Image?Enhancement ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DiffUIE Learning Latent Global Priors in Diffusion Models for Underwater?Image?Enhancement</media:keywords>
</item>

<item>
<title>Classification Committee for Active Deep Object Detection</title>
<link>https://pythonbangalore.com/classification-committee-for-active-deep-object-detection</link>
<guid>https://pythonbangalore.com/classification-committee-for-active-deep-object-detection</guid>
<description><![CDATA[ Classification Committee for Active Deep Object Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Classification Committee for Active Deep Object Detection</media:keywords>
</item>

<item>
<title>HMIL Hierarchical Multi Instance Learning for Fine Grained Whole Slide?Image?Classification</title>
<link>https://pythonbangalore.com/hmil-hierarchical-multi-instance-learning-for-fine-grained-whole-slide-image-classification</link>
<guid>https://pythonbangalore.com/hmil-hierarchical-multi-instance-learning-for-fine-grained-whole-slide-image-classification</guid>
<description><![CDATA[ HMIL Hierarchical Multi Instance Learning for Fine Grained Whole Slide?Image?Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>HMIL Hierarchical Multi Instance Learning for Fine Grained Whole Slide?Image?Classification</media:keywords>
</item>

<item>
<title>DEeR Deviation Eliminating and Noise Regulating for Privacy Preserving Federated Low Rank Adaptation</title>
<link>https://pythonbangalore.com/deer-deviation-eliminating-and-noise-regulating-for-privacy-preserving-federated-low-rank-adaptation</link>
<guid>https://pythonbangalore.com/deer-deviation-eliminating-and-noise-regulating-for-privacy-preserving-federated-low-rank-adaptation</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DEeR Deviation Eliminating and Noise Regulating for Privacy Preserving Federated Low Rank Adaptation</media:keywords>
</item>

<item>
<title>Inversion Based Face Swapping With Diffusion Model</title>
<link>https://pythonbangalore.com/inversion-based-face-swapping-with-diffusion-model</link>
<guid>https://pythonbangalore.com/inversion-based-face-swapping-with-diffusion-model</guid>
<description><![CDATA[ Inversion Based Face Swapping With Diffusion Model ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Inversion Based Face Swapping With Diffusion Model</media:keywords>
</item>

<item>
<title>Image?Reconstruction of Multiple Basis Materials With Data Augmentation in DECT</title>
<link>https://pythonbangalore.com/image-reconstruction-of-multiple-basis-materials-with-data-augmentation-in-dect</link>
<guid>https://pythonbangalore.com/image-reconstruction-of-multiple-basis-materials-with-data-augmentation-in-dect</guid>
<description><![CDATA[ Image?Reconstruction of Multiple Basis Materials With Data Augmentation in DECT ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Image?Reconstruction of Multiple Basis Materials With Data Augmentation in DECT</media:keywords>
</item>

<item>
<title>Artistic Intelligence A Diffusion Based Framework for High Fidelity Landscape Painting Synthesis</title>
<link>https://pythonbangalore.com/artistic-intelligence-a-diffusion-based-framework-for-high-fidelity-landscape-painting-synthesis</link>
<guid>https://pythonbangalore.com/artistic-intelligence-a-diffusion-based-framework-for-high-fidelity-landscape-painting-synthesis</guid>
<description><![CDATA[ Artistic Intelligence A Diffusion Based Framework for High Fidelity Landscape Painting Synthesis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Artistic Intelligence A Diffusion Based Framework for High Fidelity Landscape Painting Synthesis</media:keywords>
</item>

<item>
<title>Slice2Mesh 3D Surface Reconstruction From Sparse Slices of?Images?for the Left Ventricle</title>
<link>https://pythonbangalore.com/slice2mesh-3d-surface-reconstruction-from-sparse-slices-of-images-for-the-left-ventricle</link>
<guid>https://pythonbangalore.com/slice2mesh-3d-surface-reconstruction-from-sparse-slices-of-images-for-the-left-ventricle</guid>
<description><![CDATA[ Slice2Mesh 3D Surface Reconstruction From Sparse Slices of?Images?for the Left Ventricle ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Slice2Mesh 3D Surface Reconstruction From Sparse Slices of?Images?for the Left Ventricle</media:keywords>
</item>

<item>
<title>Deep?Image?Synthesis, Analysis and Indexing Using Integrated CNN Architectures</title>
<link>https://pythonbangalore.com/deep-image-synthesis%2C-analysis-and-indexing-using-integrated-cnn-architectures</link>
<guid>https://pythonbangalore.com/deep-image-synthesis%2C-analysis-and-indexing-using-integrated-cnn-architectures</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deep?Image?Synthesis, Analysis and Indexing Using Integrated CNN Architectures</media:keywords>
</item>

<item>
<title>Heterogeneous Graph Representation Learning Framework for Resting State Functional Connectivity Analysis</title>
<link>https://pythonbangalore.com/heterogeneous-graph-representation-learning-framework-for-resting-state-functional-connectivity-analysis</link>
<guid>https://pythonbangalore.com/heterogeneous-graph-representation-learning-framework-for-resting-state-functional-connectivity-analysis</guid>
<description><![CDATA[ Heterogeneous Graph Representation Learning Framework for Resting State Functional Connectivity Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Heterogeneous Graph Representation Learning Framework for Resting State Functional Connectivity Analysis</media:keywords>
</item>

<item>
<title>Portrait Shadow Removal Using Context Aware Illumination Restoration Network</title>
<link>https://pythonbangalore.com/portrait-shadow-removal-using-context-aware-illumination-restoration-network</link>
<guid>https://pythonbangalore.com/portrait-shadow-removal-using-context-aware-illumination-restoration-network</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Portrait Shadow Removal Using Context Aware Illumination Restoration Network</media:keywords>
</item>

<item>
<title>Ultrasound Aided Large Scale Optoacoustic Microscopy for Volumetric Angiography and Oximetry</title>
<link>https://pythonbangalore.com/ultrasound-aided-large-scale-optoacoustic-microscopy-for-volumetric-angiography-and-oximetry</link>
<guid>https://pythonbangalore.com/ultrasound-aided-large-scale-optoacoustic-microscopy-for-volumetric-angiography-and-oximetry</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Ultrasound Aided Large Scale Optoacoustic Microscopy for Volumetric Angiography and Oximetry</media:keywords>
</item>

<item>
<title>GAICN Graph Attention Iterative Contraction Network for Bioluminescence Tomography</title>
<link>https://pythonbangalore.com/gaicn-graph-attention-iterative-contraction-network-for-bioluminescence-tomography</link>
<guid>https://pythonbangalore.com/gaicn-graph-attention-iterative-contraction-network-for-bioluminescence-tomography</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>GAICN Graph Attention Iterative Contraction Network for Bioluminescence Tomography</media:keywords>
</item>

<item>
<title>Classification of Cigarette Types Using Computer Vision An Analysis of Smoke Aggregation Features</title>
<link>https://pythonbangalore.com/classification-of-cigarette-types-using-computer-vision-an-analysis-of-smoke-aggregation-features</link>
<guid>https://pythonbangalore.com/classification-of-cigarette-types-using-computer-vision-an-analysis-of-smoke-aggregation-features</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Classification of Cigarette Types Using Computer Vision An Analysis of Smoke Aggregation Features</media:keywords>
</item>

<item>
<title>Saliency Segmentation Oriented Deep?Image?Compression With Novel Bit Allocation</title>
<link>https://pythonbangalore.com/saliency-segmentation-oriented-deep-image-compression-with-novel-bit-allocation</link>
<guid>https://pythonbangalore.com/saliency-segmentation-oriented-deep-image-compression-with-novel-bit-allocation</guid>
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<media:keywords>Saliency Segmentation Oriented Deep?Image?Compression With Novel Bit Allocation</media:keywords>
</item>

<item>
<title>ESOD Efficient Small Object Detection on High Resolution?Images</title>
<link>https://pythonbangalore.com/esod-efficient-small-object-detection-on-high-resolution-images</link>
<guid>https://pythonbangalore.com/esod-efficient-small-object-detection-on-high-resolution-images</guid>
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<media:keywords>ESOD Efficient Small Object Detection on High Resolution?Images</media:keywords>
</item>

<item>
<title>CTLESS A Scatter Window Projection and Deep Learning Based Transmission Less Attenuation Compensation Method for Myocardial Perfusion SPECT</title>
<link>https://pythonbangalore.com/ctless-a-scatter-window-projection-and-deep-learning-based-transmission-less-attenuation-compensation-method-for-myocardial-perfusion-spect</link>
<guid>https://pythonbangalore.com/ctless-a-scatter-window-projection-and-deep-learning-based-transmission-less-attenuation-compensation-method-for-myocardial-perfusion-spect</guid>
<description><![CDATA[ CTLESS A Scatter Window Projection and Deep Learning Based Transmission Less Attenuation Compensation Method for Myocardial Perfusion SPECT ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>CTLESS A Scatter Window Projection and Deep Learning Based Transmission Less Attenuation Compensation Method for Myocardial Perfusion SPECT</media:keywords>
</item>

<item>
<title>Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope</title>
<link>https://pythonbangalore.com/deep-learning-for-high-speed-optical-coherence-elastography-with-a-fiber-scanning-endoscope</link>
<guid>https://pythonbangalore.com/deep-learning-for-high-speed-optical-coherence-elastography-with-a-fiber-scanning-endoscope</guid>
<description><![CDATA[ Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope</media:keywords>
</item>

<item>
<title>A Novel Spatio Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds</title>
<link>https://pythonbangalore.com/a-novel-spatio-temporal-hub-identification-in-brain-networks-by-learning-dynamic-graph-embedding-on-grassmannian-manifolds</link>
<guid>https://pythonbangalore.com/a-novel-spatio-temporal-hub-identification-in-brain-networks-by-learning-dynamic-graph-embedding-on-grassmannian-manifolds</guid>
<description><![CDATA[ A Novel Spatio Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Novel Spatio Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds</media:keywords>
</item>

<item>
<title>Perovskite Quantum Dot Based Photovoltaic Biointerface for Photostimulation of Neurons</title>
<link>https://pythonbangalore.com/perovskite-quantum-dot-based-photovoltaic-biointerface-for-photostimulation-of-neurons</link>
<guid>https://pythonbangalore.com/perovskite-quantum-dot-based-photovoltaic-biointerface-for-photostimulation-of-neurons</guid>
<description><![CDATA[ Perovskite Quantum Dot Based Photovoltaic Biointerface for Photostimulation of Neurons ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Perovskite Quantum Dot Based Photovoltaic Biointerface for Photostimulation of Neurons</media:keywords>
</item>

<item>
<title>Label Free Non Contact Vascular?Imaging?Using Photon Absorption Remote Sensing</title>
<link>https://pythonbangalore.com/label-free-non-contact-vascular-imaging-using-photon-absorption-remote-sensing</link>
<guid>https://pythonbangalore.com/label-free-non-contact-vascular-imaging-using-photon-absorption-remote-sensing</guid>
<description><![CDATA[ Label Free Non Contact Vascular?Imaging?Using Photon Absorption Remote Sensing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Label Free Non Contact Vascular?Imaging?Using Photon Absorption Remote Sensing</media:keywords>
</item>

<item>
<title>Multi Center Fetal Brain Tissue Annotation FeTA Challenge 2022 Results</title>
<link>https://pythonbangalore.com/multi-center-fetal-brain-tissue-annotation-feta-challenge-2022-results</link>
<guid>https://pythonbangalore.com/multi-center-fetal-brain-tissue-annotation-feta-challenge-2022-results</guid>
<description><![CDATA[ Multi Center Fetal Brain Tissue Annotation FeTA Challenge 2022 Results ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi Center Fetal Brain Tissue Annotation FeTA Challenge 2022 Results</media:keywords>
</item>

<item>
<title>Time Resolved Laser Speckle Contrast?Imaging?TR LSCI of Cerebral Blood Flow</title>
<link>https://pythonbangalore.com/time-resolved-laser-speckle-contrast-imaging-tr-lsci-of-cerebral-blood-flow</link>
<guid>https://pythonbangalore.com/time-resolved-laser-speckle-contrast-imaging-tr-lsci-of-cerebral-blood-flow</guid>
<description><![CDATA[ Time Resolved Laser Speckle Contrast?Imaging?TR LSCI of Cerebral Blood Flow ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Time Resolved Laser Speckle Contrast?Imaging?TR LSCI of Cerebral Blood Flow</media:keywords>
</item>

<item>
<title>Unleash the Power of State Space Model for Whole Slide?Image?With Local Aware Scanning and Importance Resampling</title>
<link>https://pythonbangalore.com/unleash-the-power-of-state-space-model-for-whole-slide-image-with-local-aware-scanning-and-importance-resampling</link>
<guid>https://pythonbangalore.com/unleash-the-power-of-state-space-model-for-whole-slide-image-with-local-aware-scanning-and-importance-resampling</guid>
<description><![CDATA[ Unleash the Power of State Space Model for Whole Slide?Image?With Local Aware Scanning and Importance Resampling ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Unleash the Power of State Space Model for Whole Slide?Image?With Local Aware Scanning and Importance Resampling</media:keywords>
</item>

<item>
<title>Leveraging Input Level Feature Deformation With Guided Attention for Sulcal Labeling</title>
<link>https://pythonbangalore.com/leveraging-input-level-feature-deformation-with-guided-attention-for-sulcal-labeling</link>
<guid>https://pythonbangalore.com/leveraging-input-level-feature-deformation-with-guided-attention-for-sulcal-labeling</guid>
<description><![CDATA[ Leveraging Input Level Feature Deformation With Guided Attention for Sulcal Labeling ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Leveraging Input Level Feature Deformation With Guided Attention for Sulcal Labeling</media:keywords>
</item>

<item>
<title>Translation Consistent Semi Supervised Segmentation for 3D Medical?Images</title>
<link>https://pythonbangalore.com/translation-consistent-semi-supervised-segmentation-for-3d-medical-images</link>
<guid>https://pythonbangalore.com/translation-consistent-semi-supervised-segmentation-for-3d-medical-images</guid>
<description><![CDATA[ Translation Consistent Semi Supervised Segmentation for 3D Medical?Images ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Translation Consistent Semi Supervised Segmentation for 3D Medical?Images</media:keywords>
</item>

<item>
<title>UTSRMorph A Unified Transformer and Superresolution Network for Unsupervised Medical?Image?Registration</title>
<link>https://pythonbangalore.com/utsrmorph-a-unified-transformer-and-superresolution-network-for-unsupervised-medical-image-registration</link>
<guid>https://pythonbangalore.com/utsrmorph-a-unified-transformer-and-superresolution-network-for-unsupervised-medical-image-registration</guid>
<description><![CDATA[ UTSRMorph A Unified Transformer and Superresolution Network for Unsupervised Medical?Image?Registration ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>UTSRMorph A Unified Transformer and Superresolution Network for Unsupervised Medical?Image?Registration</media:keywords>
</item>

<item>
<title>Wearable Magnetoencephalography in a Lightly Shielded Environment</title>
<link>https://pythonbangalore.com/wearable-magnetoencephalography-in-a-lightly-shielded-environment</link>
<guid>https://pythonbangalore.com/wearable-magnetoencephalography-in-a-lightly-shielded-environment</guid>
<description><![CDATA[ Wearable Magnetoencephalography in a Lightly Shielded Environment ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Wearable Magnetoencephalography in a Lightly Shielded Environment</media:keywords>
</item>

<item>
<title>IPNet An Interpretable Network With Progressive Loss for Whole Stage Colorectal Disease Diagnosis</title>
<link>https://pythonbangalore.com/ipnet-an-interpretable-network-with-progressive-loss-for-whole-stage-colorectal-disease-diagnosis</link>
<guid>https://pythonbangalore.com/ipnet-an-interpretable-network-with-progressive-loss-for-whole-stage-colorectal-disease-diagnosis</guid>
<description><![CDATA[ IPNet An Interpretable Network With Progressive Loss for Whole Stage Colorectal Disease Diagnosis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>IPNet An Interpretable Network With Progressive Loss for Whole Stage Colorectal Disease Diagnosis</media:keywords>
</item>

<item>
<title>Subjective and Objective Quality Assessment of Colonoscopy Videos</title>
<link>https://pythonbangalore.com/subjective-and-objective-quality-assessment-of-colonoscopy-videos</link>
<guid>https://pythonbangalore.com/subjective-and-objective-quality-assessment-of-colonoscopy-videos</guid>
<description><![CDATA[ Subjective and Objective Quality Assessment of Colonoscopy Videos ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Subjective and Objective Quality Assessment of Colonoscopy Videos</media:keywords>
</item>

<item>
<title>Facing Differences of Similarity Intra  and Inter Correlation Unsupervised Learning for Chest X Ray Anomaly Detection</title>
<link>https://pythonbangalore.com/facing-differences-of-similarity-intra--and-inter-correlation-unsupervised-learning-for-chest-x-ray-anomaly-detection</link>
<guid>https://pythonbangalore.com/facing-differences-of-similarity-intra--and-inter-correlation-unsupervised-learning-for-chest-x-ray-anomaly-detection</guid>
<description><![CDATA[ Facing Differences of Similarity Intra  and Inter Correlation Unsupervised Learning for Chest X Ray Anomaly Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Facing Differences of Similarity Intra  and Inter Correlation Unsupervised Learning for Chest X Ray Anomaly Detection</media:keywords>
</item>

<item>
<title>ConvexAdam Self Configuring Dual Optimization Based 3D Multitask Medical?Image?Registration</title>
<link>https://pythonbangalore.com/convexadam-self-configuring-dual-optimization-based-3d-multitask-medical-image-registration</link>
<guid>https://pythonbangalore.com/convexadam-self-configuring-dual-optimization-based-3d-multitask-medical-image-registration</guid>
<description><![CDATA[ ConvexAdam Self Configuring Dual Optimization Based 3D Multitask Medical?Image?Registration ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>ConvexAdam Self Configuring Dual Optimization Based 3D Multitask Medical?Image?Registration</media:keywords>
</item>

<item>
<title>Toward Semantically Consistent Deformable 2D 3D Registration for 3D Craniofacial Structure Estimation From a Single View Lateral Cephalometric Radiograph</title>
<link>https://pythonbangalore.com/toward-semantically-consistent-deformable-2d-3d-registration-for-3d-craniofacial-structure-estimation-from-a-single-view-lateral-cephalometric-radiograph</link>
<guid>https://pythonbangalore.com/toward-semantically-consistent-deformable-2d-3d-registration-for-3d-craniofacial-structure-estimation-from-a-single-view-lateral-cephalometric-radiograph</guid>
<description><![CDATA[ Toward Semantically Consistent Deformable 2D 3D Registration for 3D Craniofacial Structure Estimation From a Single View Lateral Cephalometric Radiograph ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Toward Semantically Consistent Deformable 2D 3D Registration for 3D Craniofacial Structure Estimation From a Single View Lateral Cephalometric Radiograph</media:keywords>
</item>

<item>
<title>Full Wave?Image?Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method</title>
<link>https://pythonbangalore.com/full-wave-image-reconstruction-in-transcranial-photoacoustic-computed-tomography-using-a-finite-element-method</link>
<guid>https://pythonbangalore.com/full-wave-image-reconstruction-in-transcranial-photoacoustic-computed-tomography-using-a-finite-element-method</guid>
<description><![CDATA[ Full Wave?Image?Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Full Wave?Image?Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method</media:keywords>
</item>

<item>
<title>Cohort Individual Cooperative Learning for Multimodal Cancer Survival Analysis</title>
<link>https://pythonbangalore.com/cohort-individual-cooperative-learning-for-multimodal-cancer-survival-analysis</link>
<guid>https://pythonbangalore.com/cohort-individual-cooperative-learning-for-multimodal-cancer-survival-analysis</guid>
<description><![CDATA[ Cohort Individual Cooperative Learning for Multimodal Cancer Survival Analysis ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Cohort Individual Cooperative Learning for Multimodal Cancer Survival Analysis</media:keywords>
</item>

<item>
<title>Spatiotemporal Microstate Dynamics of Spike Free Scalp EEG Offer a Potential Biomarker for Refractory Temporal Lobe Epilepsy</title>
<link>https://pythonbangalore.com/spatiotemporal-microstate-dynamics-of-spike-free-scalp-eeg-offer-a-potential-biomarker-for-refractory-temporal-lobe-epilepsy</link>
<guid>https://pythonbangalore.com/spatiotemporal-microstate-dynamics-of-spike-free-scalp-eeg-offer-a-potential-biomarker-for-refractory-temporal-lobe-epilepsy</guid>
<description><![CDATA[ Spatiotemporal Microstate Dynamics of Spike Free Scalp EEG Offer a Potential Biomarker for Refractory Temporal Lobe Epilepsy ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Spatiotemporal Microstate Dynamics of Spike Free Scalp EEG Offer a Potential Biomarker for Refractory Temporal Lobe Epilepsy</media:keywords>
</item>

<item>
<title>Emulating Low Dose PCCT?Image?Pairs With Independent Noise for Self Supervised Spectral?Image?Denoising</title>
<link>https://pythonbangalore.com/emulating-low-dose-pcct-image-pairs-with-independent-noise-for-self-supervised-spectral-image-denoising</link>
<guid>https://pythonbangalore.com/emulating-low-dose-pcct-image-pairs-with-independent-noise-for-self-supervised-spectral-image-denoising</guid>
<description><![CDATA[ Emulating Low Dose PCCT?Image?Pairs With Independent Noise for Self Supervised Spectral?Image?Denoising ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Emulating Low Dose PCCT?Image?Pairs With Independent Noise for Self Supervised Spectral?Image?Denoising</media:keywords>
</item>

<item>
<title>RemixFormer++ A Multi Modal Transformer Model for Precision Skin Tumor Differential Diagnosis With Memory Efficient Attention</title>
<link>https://pythonbangalore.com/remixformer%2B%2B-a-multi-modal-transformer-model-for-precision-skin-tumor-differential-diagnosis-with-memory-efficient-attention</link>
<guid>https://pythonbangalore.com/remixformer%2B%2B-a-multi-modal-transformer-model-for-precision-skin-tumor-differential-diagnosis-with-memory-efficient-attention</guid>
<description><![CDATA[ RemixFormer++ A Multi Modal Transformer Model for Precision Skin Tumor Differential Diagnosis With Memory Efficient Attention ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>RemixFormer++ A Multi Modal Transformer Model for Precision Skin Tumor Differential Diagnosis With Memory Efficient Attention</media:keywords>
</item>

<item>
<title>MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar A Feasibility Study</title>
<link>https://pythonbangalore.com/mri-retrospective-respiratory-gating-and-cardiac-sensing-by-cw-doppler-radar-a-feasibility-study</link>
<guid>https://pythonbangalore.com/mri-retrospective-respiratory-gating-and-cardiac-sensing-by-cw-doppler-radar-a-feasibility-study</guid>
<description><![CDATA[ MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar A Feasibility Study ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar A Feasibility Study</media:keywords>
</item>

<item>
<title>Enhancing Row Column Array RCA Based 3D Ultrasound Vascular?Imaging?With Spatial Temporal Similarity Weighting</title>
<link>https://pythonbangalore.com/enhancing-row-column-array-rca-based-3d-ultrasound-vascular-imaging-with-spatial-temporal-similarity-weighting</link>
<guid>https://pythonbangalore.com/enhancing-row-column-array-rca-based-3d-ultrasound-vascular-imaging-with-spatial-temporal-similarity-weighting</guid>
<description><![CDATA[ Enhancing Row Column Array RCA Based 3D Ultrasound Vascular?Imaging?With Spatial Temporal Similarity Weighting ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing Row Column Array RCA Based 3D Ultrasound Vascular?Imaging?With Spatial Temporal Similarity Weighting</media:keywords>
</item>

<item>
<title>IGU Aug Information Guided Unsupervised Augmentation and Pixel Wise Contrastive Learning for Medical?Image?Analysis</title>
<link>https://pythonbangalore.com/igu-aug-information-guided-unsupervised-augmentation-and-pixel-wise-contrastive-learning-for-medical-image-analysis</link>
<guid>https://pythonbangalore.com/igu-aug-information-guided-unsupervised-augmentation-and-pixel-wise-contrastive-learning-for-medical-image-analysis</guid>
<description><![CDATA[ IGU Aug Information Guided Unsupervised Augmentation and Pixel Wise Contrastive Learning for Medical?Image?Analysis ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>IGU Aug Information Guided Unsupervised Augmentation and Pixel Wise Contrastive Learning for Medical?Image?Analysis</media:keywords>
</item>

<item>
<title>ABDviaMSIFAT Abnormal Crowd Behavior Detection Utilizing a Multi Source Information Fusion Technique</title>
<link>https://pythonbangalore.com/abdviamsifat-abnormal-crowd-behavior-detection-utilizing-a-multi-source-information-fusion-technique</link>
<guid>https://pythonbangalore.com/abdviamsifat-abnormal-crowd-behavior-detection-utilizing-a-multi-source-information-fusion-technique</guid>
<description><![CDATA[ ABDviaMSIFAT Abnormal Crowd Behavior Detection Utilizing a Multi Source Information Fusion Technique ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>ABDviaMSIFAT Abnormal Crowd Behavior Detection Utilizing a Multi Source Information Fusion Technique</media:keywords>
</item>

<item>
<title>Image?Enhancement Method for Detection in Logistics Loading and Unloading Robots</title>
<link>https://pythonbangalore.com/image-enhancement-method-for-detection-in-logistics-loading-and-unloading-robots</link>
<guid>https://pythonbangalore.com/image-enhancement-method-for-detection-in-logistics-loading-and-unloading-robots</guid>
<description><![CDATA[ Image?Enhancement Method for Detection in Logistics Loading and Unloading Robots ]]></description>
<enclosure url="https://pythonbangalore.com/uploads/images/202510/image_870x580_68fd041308353.jpg" length="148567" type="image/jpeg"/>
<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Image?Enhancement Method for Detection in Logistics Loading and Unloading Robots</media:keywords>
</item>

<item>
<title>Generalizable Reconstruction for Accelerating MR?Imaging?via Federated Learning With Neural Architecture Search</title>
<link>https://pythonbangalore.com/generalizable-reconstruction-for-accelerating-mr-imaging-via-federated-learning-with-neural-architecture-search</link>
<guid>https://pythonbangalore.com/generalizable-reconstruction-for-accelerating-mr-imaging-via-federated-learning-with-neural-architecture-search</guid>
<description><![CDATA[ Generalizable Reconstruction for Accelerating MR?Imaging?via Federated Learning With Neural Architecture Search ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Generalizable Reconstruction for Accelerating MR?Imaging?via Federated Learning With Neural Architecture Search</media:keywords>
</item>

<item>
<title>Transferring Adult Like Phase?Images?for Robust Multi View Isointense Infant Brain Segmentation</title>
<link>https://pythonbangalore.com/transferring-adult-like-phase-images-for-robust-multi-view-isointense-infant-brain-segmentation</link>
<guid>https://pythonbangalore.com/transferring-adult-like-phase-images-for-robust-multi-view-isointense-infant-brain-segmentation</guid>
<description><![CDATA[ Transferring Adult Like Phase?Images?for Robust Multi View Isointense Infant Brain Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Transferring Adult Like Phase?Images?for Robust Multi View Isointense Infant Brain Segmentation</media:keywords>
</item>

<item>
<title>An End to End Geometry Based Pipeline for Automatic Preoperative Surgical Planning of Pelvic Fracture Reduction and Fixation</title>
<link>https://pythonbangalore.com/an-end-to-end-geometry-based-pipeline-for-automatic-preoperative-surgical-planning-of-pelvic-fracture-reduction-and-fixation</link>
<guid>https://pythonbangalore.com/an-end-to-end-geometry-based-pipeline-for-automatic-preoperative-surgical-planning-of-pelvic-fracture-reduction-and-fixation</guid>
<description><![CDATA[ An End to End Geometry Based Pipeline for Automatic Preoperative Surgical Planning of Pelvic Fracture Reduction and Fixation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An End to End Geometry Based Pipeline for Automatic Preoperative Surgical Planning of Pelvic Fracture Reduction and Fixation</media:keywords>
</item>

<item>
<title>From Canteen Food to Daily Meals Generalizing Food Recognition to More Practical Scenarios</title>
<link>https://pythonbangalore.com/from-canteen-food-to-daily-meals-generalizing-food-recognition-to-more-practical-scenarios</link>
<guid>https://pythonbangalore.com/from-canteen-food-to-daily-meals-generalizing-food-recognition-to-more-practical-scenarios</guid>
<description><![CDATA[ From Canteen Food to Daily Meals Generalizing Food Recognition to More Practical Scenarios ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>From Canteen Food to Daily Meals Generalizing Food Recognition to More Practical Scenarios</media:keywords>
</item>

<item>
<title>ESE GAN Zero Shot Food?Image?Classification Based on Low Dimensional Embedding of Visual Features</title>
<link>https://pythonbangalore.com/ese-gan-zero-shot-food-image-classification-based-on-low-dimensional-embedding-of-visual-features</link>
<guid>https://pythonbangalore.com/ese-gan-zero-shot-food-image-classification-based-on-low-dimensional-embedding-of-visual-features</guid>
<description><![CDATA[ ESE GAN Zero Shot Food?Image?Classification Based on Low Dimensional Embedding of Visual Features ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>ESE GAN Zero Shot Food?Image?Classification Based on Low Dimensional Embedding of Visual Features</media:keywords>
</item>

<item>
<title>Weakly Supervised Semantic Segmentation via Alternate Self Dual Teaching</title>
<link>https://pythonbangalore.com/weakly-supervised-semantic-segmentation-via-alternate-self-dual-teaching</link>
<guid>https://pythonbangalore.com/weakly-supervised-semantic-segmentation-via-alternate-self-dual-teaching</guid>
<description><![CDATA[ Weakly Supervised Semantic Segmentation via Alternate Self Dual Teaching ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Weakly Supervised Semantic Segmentation via Alternate Self Dual Teaching</media:keywords>
</item>

<item>
<title>Balancing Feature Alignment and Uniformity for Few Shot Classification</title>
<link>https://pythonbangalore.com/balancing-feature-alignment-and-uniformity-for-few-shot-classification</link>
<guid>https://pythonbangalore.com/balancing-feature-alignment-and-uniformity-for-few-shot-classification</guid>
<description><![CDATA[ Balancing Feature Alignment and Uniformity for Few Shot Classification ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Balancing Feature Alignment and Uniformity for Few Shot Classification</media:keywords>
</item>

<item>
<title>Retrieval Specific View Learning for Sketch to Shape Retrieval</title>
<link>https://pythonbangalore.com/retrieval-specific-view-learning-for-sketch-to-shape-retrieval</link>
<guid>https://pythonbangalore.com/retrieval-specific-view-learning-for-sketch-to-shape-retrieval</guid>
<description><![CDATA[ Retrieval Specific View Learning for Sketch to Shape Retrieval ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Retrieval Specific View Learning for Sketch to Shape Retrieval</media:keywords>
</item>

<item>
<title>Multi Modal Fusion Based on Depth Adaptive Mechanism for 3D Object Detection</title>
<link>https://pythonbangalore.com/multi-modal-fusion-based-on-depth-adaptive-mechanism-for-3d-object-detection</link>
<guid>https://pythonbangalore.com/multi-modal-fusion-based-on-depth-adaptive-mechanism-for-3d-object-detection</guid>
<description><![CDATA[ Multi Modal Fusion Based on Depth Adaptive Mechanism for 3D Object Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Multi Modal Fusion Based on Depth Adaptive Mechanism for 3D Object Detection</media:keywords>
</item>

<item>
<title>DVMark A Deep Multiscale Framework for Video Watermarking</title>
<link>https://pythonbangalore.com/dvmark-a-deep-multiscale-framework-for-video-watermarking</link>
<guid>https://pythonbangalore.com/dvmark-a-deep-multiscale-framework-for-video-watermarking</guid>
<description><![CDATA[ DVMark A Deep Multiscale Framework for Video Watermarking ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>DVMark A Deep Multiscale Framework for Video Watermarking</media:keywords>
</item>

<item>
<title>Dual Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks</title>
<link>https://pythonbangalore.com/dual-mode-method-for-generating-adversarial-examples-to-attack-deep-neural-networks</link>
<guid>https://pythonbangalore.com/dual-mode-method-for-generating-adversarial-examples-to-attack-deep-neural-networks</guid>
<description><![CDATA[ Dual Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Dual Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks</media:keywords>
</item>

<item>
<title>Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition Multisynchrosqueezing Transform Combined With Long Short Term Memory Networks</title>
<link>https://pythonbangalore.com/fault-diagnosis-method-of-rolling-bearing-based-on-variational-modal-decomposition-multisynchrosqueezing-transform-combined-with-long-short-term-memory-networks</link>
<guid>https://pythonbangalore.com/fault-diagnosis-method-of-rolling-bearing-based-on-variational-modal-decomposition-multisynchrosqueezing-transform-combined-with-long-short-term-memory-networks</guid>
<description><![CDATA[ Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition Multisynchrosqueezing Transform Combined With Long Short Term Memory Networks ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition Multisynchrosqueezing Transform Combined With Long Short Term Memory Networks</media:keywords>
</item>

<item>
<title>Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems</title>
<link>https://pythonbangalore.com/insights-and-recommendations-for-the-assessment-and-design-of-fault-diagnosis-methods-applied-to-modern-distribution-systems</link>
<guid>https://pythonbangalore.com/insights-and-recommendations-for-the-assessment-and-design-of-fault-diagnosis-methods-applied-to-modern-distribution-systems</guid>
<description><![CDATA[ Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems</media:keywords>
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<item>
<title>Spatio Temporal Travel Speed Estimation in Mixed Traffic Conditions A Probe Vehicle Based Approach With Autonomous Vehicle Sensor Integration</title>
<link>https://pythonbangalore.com/spatio-temporal-travel-speed-estimation-in-mixed-traffic-conditions-a-probe-vehicle-based-approach-with-autonomous-vehicle-sensor-integration</link>
<guid>https://pythonbangalore.com/spatio-temporal-travel-speed-estimation-in-mixed-traffic-conditions-a-probe-vehicle-based-approach-with-autonomous-vehicle-sensor-integration</guid>
<description><![CDATA[ Spatio Temporal Travel Speed Estimation in Mixed Traffic Conditions A Probe Vehicle Based Approach With Autonomous Vehicle Sensor Integration ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Spatio Temporal Travel Speed Estimation in Mixed Traffic Conditions A Probe Vehicle Based Approach With Autonomous Vehicle Sensor Integration</media:keywords>
</item>

<item>
<title>A Methodology for Electricity Demand Forecasting Using a Hybrid Approach</title>
<link>https://pythonbangalore.com/a-methodology-for-electricity-demand-forecasting-using-a-hybrid-approach</link>
<guid>https://pythonbangalore.com/a-methodology-for-electricity-demand-forecasting-using-a-hybrid-approach</guid>
<description><![CDATA[ A Methodology for Electricity Demand Forecasting Using a Hybrid Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Methodology for Electricity Demand Forecasting Using a Hybrid Approach</media:keywords>
</item>

<item>
<title>A Comparative Review on Superdirectivite Antenna Systems in Modern Literature</title>
<link>https://pythonbangalore.com/a-comparative-review-on-superdirectivite-antenna-systems-in-modern-literature</link>
<guid>https://pythonbangalore.com/a-comparative-review-on-superdirectivite-antenna-systems-in-modern-literature</guid>
<description><![CDATA[ A Comparative Review on Superdirectivite Antenna Systems in Modern Literature ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>A Comparative Review on Superdirectivite Antenna Systems in Modern Literature</media:keywords>
</item>

<item>
<title>Cluster Analysis of RF EMF Exposure to Detect Time Patterns in Urban Environment A Model Based Approach</title>
<link>https://pythonbangalore.com/cluster-analysis-of-rf-emf-exposure-to-detect-time-patterns-in-urban-environment-a-model-based-approach</link>
<guid>https://pythonbangalore.com/cluster-analysis-of-rf-emf-exposure-to-detect-time-patterns-in-urban-environment-a-model-based-approach</guid>
<description><![CDATA[ Cluster Analysis of RF EMF Exposure to Detect Time Patterns in Urban Environment A Model Based Approach ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Cluster Analysis of RF EMF Exposure to Detect Time Patterns in Urban Environment A Model Based Approach</media:keywords>
</item>

<item>
<title>POLIPHONE A Dataset for Smartphone Model Identification From Audio Recordings</title>
<link>https://pythonbangalore.com/poliphone-a-dataset-for-smartphone-model-identification-from-audio-recordings</link>
<guid>https://pythonbangalore.com/poliphone-a-dataset-for-smartphone-model-identification-from-audio-recordings</guid>
<description><![CDATA[ POLIPHONE A Dataset for Smartphone Model Identification From Audio Recordings ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>POLIPHONE A Dataset for Smartphone Model Identification From Audio Recordings</media:keywords>
</item>

<item>
<title>Toward Semi Autonomous Robotic Arm Manipulation Operator Intention Detection From Force Data</title>
<link>https://pythonbangalore.com/toward-semi-autonomous-robotic-arm-manipulation-operator-intention-detection-from-force-data</link>
<guid>https://pythonbangalore.com/toward-semi-autonomous-robotic-arm-manipulation-operator-intention-detection-from-force-data</guid>
<description><![CDATA[ Toward Semi Autonomous Robotic Arm Manipulation Operator Intention Detection From Force Data ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Toward Semi Autonomous Robotic Arm Manipulation Operator Intention Detection From Force Data</media:keywords>
</item>

<item>
<title>An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management</title>
<link>https://pythonbangalore.com/an-improved-iot-based-hybrid-predictive-load-forecasting-model-for-a-greenhouse-integrated-with-demand-side-management</link>
<guid>https://pythonbangalore.com/an-improved-iot-based-hybrid-predictive-load-forecasting-model-for-a-greenhouse-integrated-with-demand-side-management</guid>
<description><![CDATA[ An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management</media:keywords>
</item>

<item>
<title>AG Net3D Embedding Attention Gate Into U Net for 3D Seismic Data Fault Detection</title>
<link>https://pythonbangalore.com/ag-net3d-embedding-attention-gate-into-u-net-for-3d-seismic-data-fault-detection</link>
<guid>https://pythonbangalore.com/ag-net3d-embedding-attention-gate-into-u-net-for-3d-seismic-data-fault-detection</guid>
<description><![CDATA[ AG Net3D Embedding Attention Gate Into U Net for 3D Seismic Data Fault Detection ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>AG Net3D Embedding Attention Gate Into U Net for 3D Seismic Data Fault Detection</media:keywords>
</item>

<item>
<title>Newton?s Cooling Law Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction</title>
<link>https://pythonbangalore.com/newton%3Fs-cooling-law-based-oversampling-technique-for-handling-imbalanced-data-in-software-defect-prediction</link>
<guid>https://pythonbangalore.com/newton%3Fs-cooling-law-based-oversampling-technique-for-handling-imbalanced-data-in-software-defect-prediction</guid>
<description><![CDATA[ Newton?s Cooling Law Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Newton?s Cooling Law Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction</media:keywords>
</item>

<item>
<title>Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing</title>
<link>https://pythonbangalore.com/enhancing-cybersecurity-through-fusion-of-optimization-with-deep-wavelet-neural-networks-on-denial-of-wallet-attack-detection-in-serverless-computing</link>
<guid>https://pythonbangalore.com/enhancing-cybersecurity-through-fusion-of-optimization-with-deep-wavelet-neural-networks-on-denial-of-wallet-attack-detection-in-serverless-computing</guid>
<description><![CDATA[ Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing</media:keywords>
</item>

<item>
<title>Gauging ?? A Non Parametric Hierarchical Clustering Algorithm</title>
<link>https://pythonbangalore.com/gauging-%3F%3F-a-non-parametric-hierarchical-clustering-algorithm</link>
<guid>https://pythonbangalore.com/gauging-%3F%3F-a-non-parametric-hierarchical-clustering-algorithm</guid>
<description><![CDATA[ Gauging ?? A Non Parametric Hierarchical Clustering Algorithm ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Gauging ?? A Non Parametric Hierarchical Clustering Algorithm</media:keywords>
</item>

<item>
<title>Generating Inverse Feature Space for Class Imbalance in Point Cloud Semantic Segmentation</title>
<link>https://pythonbangalore.com/generating-inverse-feature-space-for-class-imbalance-in-point-cloud-semantic-segmentation</link>
<guid>https://pythonbangalore.com/generating-inverse-feature-space-for-class-imbalance-in-point-cloud-semantic-segmentation</guid>
<description><![CDATA[ Generating Inverse Feature Space for Class Imbalance in Point Cloud Semantic Segmentation ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Generating Inverse Feature Space for Class Imbalance in Point Cloud Semantic Segmentation</media:keywords>
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<item>
<title>Minimum Link Flow Problem and Its Solution With Sparse Modeling</title>
<link>https://pythonbangalore.com/minimum-link-flow-problem-and-its-solution-with-sparse-modeling</link>
<guid>https://pythonbangalore.com/minimum-link-flow-problem-and-its-solution-with-sparse-modeling</guid>
<description><![CDATA[ Minimum Link Flow Problem and Its Solution With Sparse Modeling ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Minimum Link Flow Problem and Its Solution With Sparse Modeling</media:keywords>
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<item>
<title>Controlled Non Dominated Sorting Genetic Algorithms for Multi Objective Optimal Design of Standalone and Grid Connected Renewable Energy Systems in Integrated Energy Sectors</title>
<link>https://pythonbangalore.com/controlled-non-dominated-sorting-genetic-algorithms-for-multi-objective-optimal-design-of-standalone-and-grid-connected-renewable-energy-systems-in-integrated-energy-sectors</link>
<guid>https://pythonbangalore.com/controlled-non-dominated-sorting-genetic-algorithms-for-multi-objective-optimal-design-of-standalone-and-grid-connected-renewable-energy-systems-in-integrated-energy-sectors</guid>
<description><![CDATA[ Controlled Non Dominated Sorting Genetic Algorithms for Multi Objective Optimal Design of Standalone and Grid Connected Renewable Energy Systems in Integrated Energy Sectors ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Controlled Non Dominated Sorting Genetic Algorithms for Multi Objective Optimal Design of Standalone and Grid Connected Renewable Energy Systems in Integrated Energy Sectors</media:keywords>
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<title>S2S2 Transformer for Mask Aware Hyperspectral Image Reconstruction</title>
<link>https://pythonbangalore.com/s2s2-transformer-for-mask-aware-hyperspectral-image-reconstruction</link>
<guid>https://pythonbangalore.com/s2s2-transformer-for-mask-aware-hyperspectral-image-reconstruction</guid>
<description><![CDATA[ S2S2 Transformer for Mask Aware Hyperspectral Image Reconstruction ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>S2S2 Transformer for Mask Aware Hyperspectral Image Reconstruction</media:keywords>
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<item>
<title>Efficient Edge AI for Next Generation Smart Mirror Applications</title>
<link>https://pythonbangalore.com/efficient-edge-ai-for-next-generation-smart-mirror-applications</link>
<guid>https://pythonbangalore.com/efficient-edge-ai-for-next-generation-smart-mirror-applications</guid>
<description><![CDATA[ Efficient Edge AI for Next Generation Smart Mirror Applications ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Efficient Edge AI for Next Generation Smart Mirror Applications</media:keywords>
</item>

<item>
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<link>https://pythonbangalore.com/prediction-of-imbalance-prices-through-gradient-boosting-algorithms-an-application-to-the-greek-balancing-market</link>
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<description><![CDATA[ Prediction of Imbalance Prices Through Gradient Boosting Algorithms An Application to the Greek Balancing Market ]]></description>
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<media:keywords>Prediction of Imbalance Prices Through Gradient Boosting Algorithms An Application to the Greek Balancing Market</media:keywords>
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<link>https://pythonbangalore.com/advanced-leaf-classification-using-multi-layer-perceptron-for-smart-crop-management</link>
<guid>https://pythonbangalore.com/advanced-leaf-classification-using-multi-layer-perceptron-for-smart-crop-management</guid>
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<media:keywords>Advanced Leaf Classification Using Multi Layer Perceptron for Smart Crop Management</media:keywords>
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<link>https://pythonbangalore.com/degrade-or-super-resolve-to-recognize%3F-bridging-the-domain-gap-for-cross-resolution-face-recognition</link>
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<media:keywords>Degrade or Super Resolve to Recognize? Bridging the Domain Gap for Cross Resolution Face Recognition</media:keywords>
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<link>https://pythonbangalore.com/a-novel-data-driven-method-of-real-time-transient-stability-assessment-for-ac-dc-hybrid-power-systems</link>
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<media:keywords>A Novel Data Driven Method of Real Time Transient Stability Assessment for AC DC Hybrid Power Systems</media:keywords>
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<link>https://pythonbangalore.com/landslide-deformation-uncertainty-quantification-using-conformalized-graph-neural-networks-a-case-study-in-sichuan-province%2C-china</link>
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<media:keywords>Landslide Deformation Uncertainty Quantification Using Conformalized Graph Neural Networks A Case Study in Sichuan Province, China</media:keywords>
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<link>https://pythonbangalore.com/accelerating-distributed-repartition-joins-on-skewed-datasets-via-patch-based-shuffling</link>
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<title>Mobile Location With Multi Spot Measurements Model Considering Anchor Node Position Errors</title>
<link>https://pythonbangalore.com/mobile-location-with-multi-spot-measurements-model-considering-anchor-node-position-errors</link>
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<description><![CDATA[ Mobile Location With Multi Spot Measurements Model Considering Anchor Node Position Errors ]]></description>
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<media:keywords>Mobile Location With Multi Spot Measurements Model Considering Anchor Node Position Errors</media:keywords>
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<link>https://pythonbangalore.com/mfse-transunet-a-thyroid-nodule-ultrasound-image-segmentation-network-integrated-with-dynamic-feature-calibration-and-edge-enhancement</link>
<guid>https://pythonbangalore.com/mfse-transunet-a-thyroid-nodule-ultrasound-image-segmentation-network-integrated-with-dynamic-feature-calibration-and-edge-enhancement</guid>
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<media:keywords>MFSE TransUNet A Thyroid Nodule Ultrasound Image Segmentation Network Integrated With Dynamic Feature Calibration and Edge Enhancement</media:keywords>
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<title>Improved RTAB Map Algorithm Based on Visible Light Positioning</title>
<link>https://pythonbangalore.com/improved-rtab-map-algorithm-based-on-visible-light-positioning</link>
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<media:keywords>Improved RTAB Map Algorithm Based on Visible Light Positioning</media:keywords>
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<title>JailbreakTracer Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation</title>
<link>https://pythonbangalore.com/jailbreaktracer-explainable-detection-of-jailbreaking-prompts-in-llms-using-synthetic-data-generation</link>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>JailbreakTracer Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation</media:keywords>
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<title>Memory Efficient Annotation Techniques for Autonomous Drone Navigation</title>
<link>https://pythonbangalore.com/memory-efficient-annotation-techniques-for-autonomous-drone-navigation</link>
<guid>https://pythonbangalore.com/memory-efficient-annotation-techniques-for-autonomous-drone-navigation</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Memory Efficient Annotation Techniques for Autonomous Drone Navigation</media:keywords>
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<title>A Meta Framework for Virtual Entities Within Digital Twins Better Understanding for Stakeholders and Technologies</title>
<link>https://pythonbangalore.com/a-meta-framework-for-virtual-entities-within-digital-twins-better-understanding-for-stakeholders-and-technologies</link>
<guid>https://pythonbangalore.com/a-meta-framework-for-virtual-entities-within-digital-twins-better-understanding-for-stakeholders-and-technologies</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>A Meta Framework for Virtual Entities Within Digital Twins Better Understanding for Stakeholders and Technologies</media:keywords>
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<title>Exploring the Effects of Personality Traits on Customer Perceived Value Based on Text Decomposition</title>
<link>https://pythonbangalore.com/exploring-the-effects-of-personality-traits-on-customer-perceived-value-based-on-text-decomposition</link>
<guid>https://pythonbangalore.com/exploring-the-effects-of-personality-traits-on-customer-perceived-value-based-on-text-decomposition</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Exploring the Effects of Personality Traits on Customer Perceived Value Based on Text Decomposition</media:keywords>
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<link>https://pythonbangalore.com/unveiling-hidden-structures-multi-platform-iot-malware-analysis-using-graph-embeddings</link>
<guid>https://pythonbangalore.com/unveiling-hidden-structures-multi-platform-iot-malware-analysis-using-graph-embeddings</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Unveiling Hidden Structures Multi Platform IoT Malware Analysis Using Graph Embeddings</media:keywords>
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<link>https://pythonbangalore.com/a-novel-decision-making-algorithm-for-the-assessment-of-creative-product-value-transformation-based-on-customer-preferences-using-bipolar-intuitionistic-hesitant-fuzzy-information</link>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>A Novel Decision Making Algorithm for the Assessment of Creative Product Value Transformation Based on Customer Preferences Using Bipolar Intuitionistic Hesitant Fuzzy Information</media:keywords>
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<title>A Novel Measurement Error Identification Framework for Multi Branch CT System</title>
<link>https://pythonbangalore.com/a-novel-measurement-error-identification-framework-for-multi-branch-ct-system</link>
<guid>https://pythonbangalore.com/a-novel-measurement-error-identification-framework-for-multi-branch-ct-system</guid>
<description><![CDATA[ A Novel Measurement Error Identification Framework for Multi Branch CT System ]]></description>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>A Novel Measurement Error Identification Framework for Multi Branch CT System</media:keywords>
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<title>A Novel Context Aware Feature Pyramid Networks With Kolmogorov Arnold Modeling and XAI Framework for Robust Lung Cancer Detection</title>
<link>https://pythonbangalore.com/a-novel-context-aware-feature-pyramid-networks-with-kolmogorov-arnold-modeling-and-xai-framework-for-robust-lung-cancer-detection</link>
<guid>https://pythonbangalore.com/a-novel-context-aware-feature-pyramid-networks-with-kolmogorov-arnold-modeling-and-xai-framework-for-robust-lung-cancer-detection</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>A Novel Context Aware Feature Pyramid Networks With Kolmogorov Arnold Modeling and XAI Framework for Robust Lung Cancer Detection</media:keywords>
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<title>Revisiting ONE Simulator in IoV Research Seeing the Forest Through the Trees</title>
<link>https://pythonbangalore.com/revisiting-one-simulator-in-iov-research-seeing-the-forest-through-the-trees</link>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Revisiting ONE Simulator in IoV Research Seeing the Forest Through the Trees</media:keywords>
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<link>https://pythonbangalore.com/using-functional-blocks-for-rolling-stock-troubleshooting-sequential-augmented-reality-assistant-sara</link>
<guid>https://pythonbangalore.com/using-functional-blocks-for-rolling-stock-troubleshooting-sequential-augmented-reality-assistant-sara</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>Using Functional Blocks for Rolling Stock Troubleshooting Sequential Augmented Reality Assistant SARA</media:keywords>
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<guid>https://pythonbangalore.com/an-auto-tuning-goal-oriented-dynamic-feature-selection-for-non-stationary-message-stream-classification-using-a-multi-agent-approach</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>An Auto Tuning Goal Oriented Dynamic Feature Selection for Non Stationary Message Stream Classification Using a Multi Agent Approach</media:keywords>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
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<media:keywords>Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism</media:keywords>
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<guid>https://pythonbangalore.com/staa-spatio-temporal-attention-attribution-for-real-time-interpreting-transformer-based-ai-video-models</guid>
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<pubDate>Sat, 25 Oct 2025 22:40:00 +0530</pubDate>
<dc:creator>admin</dc:creator>
<media:keywords>STAA Spatio Temporal Attention Attribution for Real Time Interpreting Transformer Based AI Video Models</media:keywords>
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<media:keywords>A Hybrid Transformer Based Framework for Multi Document Summarization of Turkish Legal Documents</media:keywords>
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<media:keywords>Navigating Ethical Dimensions in the Metaverse Challenges, Frameworks, and Solutions</media:keywords>
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<guid>https://pythonbangalore.com/similarity-based-clustering-for-identification-and-segmentation-of-responsive-electricity-customers</guid>
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<media:keywords>Similarity Based Clustering for Identification and Segmentation of Responsive Electricity Customers</media:keywords>
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<media:keywords>Self Supervised Drift Resilient Classification for Time Series Industrial Anomaly Detection</media:keywords>
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<media:keywords>Gait Recognition in the Wild A Large Scale Benchmark and NAS Based Baseline</media:keywords>
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