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		<title>NPS Australia Submission System</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/personalized-thyroid-disorder-diagnosis-system-through-adaptive-expert-routing-and-intelligent-selection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/personalized-thyroid-disorder-diagnosis-system-through-adaptive-expert-routing-and-intelligent-selection/]]></link>
			<title>Personalized Thyroid Disorder Diagnosis System through Adaptive Expert Routing and Intelligent Selection</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 16:28:42 +0000]]></pubDate>
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			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Sat, 15 Aug 2026 07:45:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cybermirror-recovering-interpretable-attacker-reward-functions-from-deep-rl-pentesting-agents-via-inverse-reinforcement-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cybermirror-recovering-interpretable-attacker-reward-functions-from-deep-rl-pentesting-agents-via-inverse-reinforcement-learning/]]></link>
			<title>CyberMirror: Recovering Interpretable Attacker Reward Functions from Deep-RL Pentesting Agents via Inverse Reinforcement Learning</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 16:25:14 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-energy-consumption-and-sustainable-wealth-in-developing-countries-the-moderating-role-of-government-effectiveness/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-energy-consumption-and-sustainable-wealth-in-developing-countries-the-moderating-role-of-government-effectiveness/]]></link>
			<title>Renewable Energy Consumption and Sustainable Wealth in Developing Countries: The Moderating Role of Government Effectiveness</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 15:22:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/supercapacitor-based-energy-storage-for-residential-pv-applications-a-quantitative-comparative-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/supercapacitor-based-energy-storage-for-residential-pv-applications-a-quantitative-comparative-study/]]></link>
			<title>Supercapacitor-Based Energy Storage for Residential PV Applications: A Quantitative Comparative Study</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 14:46:43 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-edge-vision-an-energy-efficient-deep-learning-for-crop-disease-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-edge-vision-an-energy-efficient-deep-learning-for-crop-disease-detection/]]></link>
			<title>Sustainable Edge Vision: An Energy-efficient Deep Learning for Crop Disease Detection</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 11:09:07 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-fully-offline-ble-connected-multi-task-tinyml-weather-station-with-android-monitoring-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-fully-offline-ble-connected-multi-task-tinyml-weather-station-with-android-monitoring-2/]]></link>
			<title>A Fully Offline BLE-Connected Multi-Task TinyML Weather Station with Android Monitoring</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 10:35:27 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-uncertainty-for-mammography-classification-failure-detection-limited-incremental-value-of-saliency-map-instability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-uncertainty-for-mammography-classification-failure-detection-limited-incremental-value-of-saliency-map-instability/]]></link>
			<title>Predictive Uncertainty for Mammography Classification Failure Detection: Limited Incremental Value of Saliency-Map Instability</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 08:14:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-an-efficientnetb0-based-artificial-intelligence-model-for-detection-classification-and-separation-of-polyethylene-terephthalate-pet-from-mixed-plastic-waste-streams/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-an-efficientnetb0-based-artificial-intelligence-model-for-detection-classification-and-separation-of-polyethylene-terephthalate-pet-from-mixed-plastic-waste-streams/]]></link>
			<title>Development of an EfficientNetB0-Based Artificial Intelligence Model for Detection, Classification, and Separation of Polyethylene Terephthalate (PET) from Mixed Plastic Waste Streams</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 07:23:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-probabilistic-short-term-load-forecasting-with-conditional-diffusion-and-split-conformal-calibration-across-different-aggregation-levels/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-probabilistic-short-term-load-forecasting-with-conditional-diffusion-and-split-conformal-calibration-across-different-aggregation-levels/]]></link>
			<title>A Probabilistic Short-Term Load Forecasting with Conditional Diffusion and Split-Conformal Calibration Across Different Aggregation Levels</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 20:28:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-edge-cloud-smart-classroom-system-for-energy-efficiency-with-intelligent-classroom-and-exam-modes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-edge-cloud-smart-classroom-system-for-energy-efficiency-with-intelligent-classroom-and-exam-modes/]]></link>
			<title>An Edge-Cloud Smart Classroom System for Energy Efficiency with Intelligent Classroom and Exam Modes</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 16:29:17 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-guard-a-convolutional-neural-network-based-desktop-application-for-automated-crop-leaf-disease-detection-and-advisory-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-guard-a-convolutional-neural-network-based-desktop-application-for-automated-crop-leaf-disease-detection-and-advisory-2/]]></link>
			<title>Green Guard: A Convolutional Neural Network Based Desktop Application for Automated Crop Leaf Disease Detection and Advisory</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 15:58:26 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-guard-a-convolutional-neural-network-based-desktop-application-for-automated-crop-leaf-disease-detection-and-advisory/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-guard-a-convolutional-neural-network-based-desktop-application-for-automated-crop-leaf-disease-detection-and-advisory/]]></link>
			<title>Green Guard: A Convolutional Neural Network Based Desktop Application for Automated Crop Leaf Disease Detection and Advisory</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 15:56:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-bangladeshi-vehicle-type-recognition-using-yolov9-variants/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-bangladeshi-vehicle-type-recognition-using-yolov9-variants/]]></link>
			<title>Real Time Bangladeshi Vehicle Type Recognition Using YOLOv9 Variants</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 15:24:54 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-hybrid-deberta-bilstm-attention-framework-for-cyberbullying-detection-in-social-media/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-hybrid-deberta-bilstm-attention-framework-for-cyberbullying-detection-in-social-media/]]></link>
			<title>An  Explainable Hybrid DeBERTa-BiLSTM-Attention Framework for Cyberbullying Detection In Social Media</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 12:33:01 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rice-yield-prediction-and-crop-health-assessment-in-bangladesh-using-satellite-imagery-and-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rice-yield-prediction-and-crop-health-assessment-in-bangladesh-using-satellite-imagery-and-machine-learning/]]></link>
			<title>Rice Yield Prediction and Crop Health Assessment in Bangladesh Using Satellite Imagery and Machine Learning</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 12:05:48 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calforget-calibration-driven-selective-forgetting-via-conformal-influence-attribution/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calforget-calibration-driven-selective-forgetting-via-conformal-influence-attribution/]]></link>
			<title>CalForget: Calibration-Driven Selective Forgetting via Conformal Influence Attribution</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 09:42:05 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conformal-influence-driven-realignment-cidr-a-framework-for-restoring-model-reliability-under-distribution-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conformal-influence-driven-realignment-cidr-a-framework-for-restoring-model-reliability-under-distribution-shift/]]></link>
			<title>Conformal Influence-Driven Realignment (CIDR): A Framework for Restoring Model Reliability under Distribution Shift</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 09:41:36 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-edge-cloud-smart-classroom-system-for-energy-efficiency-with-intelligent-classroom-and-exam-modes-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-edge-cloud-smart-classroom-system-for-energy-efficiency-with-intelligent-classroom-and-exam-modes-2/]]></link>
			<title>An Edge-Cloud Smart Classroom System for Energy Efficiency with Intelligent Classroom and Exam Modes</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 09:28:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sorolipi-automatic-bangla-image-captioning-using-deep-learning-models-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sorolipi-automatic-bangla-image-captioning-using-deep-learning-models-2/]]></link>
			<title>SOROLIPI: Automatic Bangla Image Captioning Using Deep Learning Based</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 09:09:02 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-relieff-wrapper-feature-optimization-framework-with-stacking-ensembles-for-explainable-breast-cancer-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-relieff-wrapper-feature-optimization-framework-with-stacking-ensembles-for-explainable-breast-cancer-diagnosis/]]></link>
			<title>A Hybrid ReliefF-Wrapper Feature Optimization Framework with Stacking Ensembles for Explainable Breast Cancer Diagnosis</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 21:46:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/poultry-farm-micro-climate-controller/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/poultry-farm-micro-climate-controller/]]></link>
			<title>Poultry Farm Micro-Climate Controller</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 08:25:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroneuro-guardian-an-integrated-iot-tinyml-framework-for-autonomous-irrigation-control-and-flood-prevention-in-precision-agriculture/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroneuro-guardian-an-integrated-iot-tinyml-framework-for-autonomous-irrigation-control-and-flood-prevention-in-precision-agriculture/]]></link>
			<title>AgroNeuro Guardian: An Integrated IoT-TinyML Framework for Autonomous Irrigation Control and Flood Prevention in Precision Agriculture</title>
			<pubDate><![CDATA[Thu, 20 Aug 2026 08:23:23 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/optimal-ramp-rate-control-using-battery-energy-storage-systems-bess-for-utility-scale-solar-power-plants-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/optimal-ramp-rate-control-using-battery-energy-storage-systems-bess-for-utility-scale-solar-power-plants-in-bangladesh/]]></link>
			<title>Optimal Ramp-Rate Control Using Battery Energy Storage Systems (BESS) for Utility-Scale Solar Power Plants in Bangladesh</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 19:02:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-cybersecurity-awareness-prediction-and-behavioral-pattern-mining-using-survey-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-cybersecurity-awareness-prediction-and-behavioral-pattern-mining-using-survey-data/]]></link>
			<title>Explainable Machine Learning Framework for Cybersecurity Awareness Prediction and Behavioral Pattern Mining Using Survey Data</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 16:25:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/soc-aware-adaptive-energy-management-for-multi-source-energy-harvesting-in-smartphone-charging/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/soc-aware-adaptive-energy-management-for-multi-source-energy-harvesting-in-smartphone-charging/]]></link>
			<title>SoC-Aware Adaptive Power Management for Multi-Source Energy Harvesting in Smartphone Charging</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 13:27:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-chest-disease-classification-from-x-rays-using-pca-enhanced-vision-transformers-and-multi-method-explainability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-chest-disease-classification-from-x-rays-using-pca-enhanced-vision-transformers-and-multi-method-explainability/]]></link>
			<title>Multi-Class Chest Disease Classification from X-Rays Using PCA-Enhanced Vision Transformers and Multi-Method Explainability</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 12:28:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroconv-eff-a-hybrid-convnext-efficientnetv2-architecture-with-adaptive-feature-gating-for-multi-crop-plant-disease-detection-in-bangladeshi-agriculture/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroconv-eff-a-hybrid-convnext-efficientnetv2-architecture-with-adaptive-feature-gating-for-multi-crop-plant-disease-detection-in-bangladeshi-agriculture/]]></link>
			<title>AgroConv-Eff: A Hybrid ConvNeXt–EfficientNetV2 Architecture with Adaptive Feature Gating for Multi-Crop Plant Disease Detection</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 11:24:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-crime-risk-modelling-via-heterogeneity-spatiotemporal-representation-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-crime-risk-modelling-via-heterogeneity-spatiotemporal-representation-learning/]]></link>
			<title>Explainable Crime-Risk Modelling via Heterogeneity Spatiotemporal Representation Learning</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 09:42:43 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-optimizing-mac-protocol-for-wbans-managing-multi-class-and-multi-load-in-ieee-802-15-6-superframes-using-hysteretic-q-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-optimizing-mac-protocol-for-wbans-managing-multi-class-and-multi-load-in-ieee-802-15-6-superframes-using-hysteretic-q-learning/]]></link>
			<title>An Optimizing MAC Protocol for WBANs Managing Multi-class and Multi-load in IEEE 802.15.6 Superframes Using Hysteretic Q-learning</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 07:59:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/x-crsaa-an-explainable-clinically-regularized-self-attention-autoencoder-for-unsupervised-thyroid-anomaly-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/x-crsaa-an-explainable-clinically-regularized-self-attention-autoencoder-for-unsupervised-thyroid-anomaly-detection/]]></link>
			<title>X-CRSAA: An Explainable, Clinically-Regularized Self-Attention Autoencoder for Unsupervised Thyroid Anomaly Detection</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 07:22:25 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/coordinated-vehicle-to-grid-control-for-smart-microgrids-a-real-time-soc-aware-strategy-for-frequency-regulation-and-grid-stability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/coordinated-vehicle-to-grid-control-for-smart-microgrids-a-real-time-soc-aware-strategy-for-frequency-regulation-and-grid-stability/]]></link>
			<title>Coordinated Vehicle-to-Grid Control for Smart Microgrids: A Real-Time SOC-Aware Strategy for Frequency Regulation and Grid Stability</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 06:51:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/advancements-in-fast-and-wireless-electric-vehicle-charging-performance-trade-offs-system-challenges-and-future-directions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/advancements-in-fast-and-wireless-electric-vehicle-charging-performance-trade-offs-system-challenges-and-future-directions/]]></link>
			<title>Advancements in Fast and Wireless Electric Vehicle Charging: Performance Trade-Offs, System Challenges, and Future Directions</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 06:06:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/test-paper-by-rashed/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/test-paper-by-rashed/]]></link>
			<title>Test paper by Rashed – Updated</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 05:31:24 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-lingual-and-cross-domain-transfer-learning-for-digital-arrest-scam-detection-via-transformer-warm-starting-with-coercion-stage-explainability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-lingual-and-cross-domain-transfer-learning-for-digital-arrest-scam-detection-via-transformer-warm-starting-with-coercion-stage-explainability/]]></link>
			<title>Cross-Lingual and Cross-Domain Transfer Learning for Digital-Arrest Scam Detection via Transformer Warm-Starting with Coercion-Stage Explainability</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 04:13:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/air-quality-index-forecasting-in-dhaka-using-deep-learning-a-comparative-study-of-lstm-gru-and-bilstmconv1d/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/air-quality-index-forecasting-in-dhaka-using-deep-learning-a-comparative-study-of-lstm-gru-and-bilstmconv1d/]]></link>
			<title>Air Quality Index Forecasting in Dhaka Using Deep Learning: A comparative study of LSTM, GRU, and BiLSTM+Conv1D</title>
			<pubDate><![CDATA[Wed, 19 Aug 2026 03:58:09 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-bandwidth-and-isolation-challenges-in-thz-mimo-a-dual-band-bow-tie-antenna-for-biomedical-pharmaceutical-and-security-applications-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-bandwidth-and-isolation-challenges-in-thz-mimo-a-dual-band-bow-tie-antenna-for-biomedical-pharmaceutical-and-security-applications-2/]]></link>
			<title>Addressing Bandwidth and Isolation Challenges in THz MIMO: A Dual-Band Bow-Tie Antenna for Biomedical, Pharmaceutical, and Security Applications</title>
			<pubDate><![CDATA[Tue, 18 Aug 2026 17:33:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-ensemble-vision-transformer-approach-for-automated-detection-of-hepatocellular-carcinoma/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-ensemble-vision-transformer-approach-for-automated-detection-of-hepatocellular-carcinoma/]]></link>
			<title>An Ensemble Vision Transformer Approach for Automated Detection of Hepatocellular Carcinoma</title>
			<pubDate><![CDATA[Tue, 18 Aug 2026 10:56:39 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-hybrid-deep-learning-framework-for-retinal-disease-classification-using-densenet201-and-shap-optimized-xlstm/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-hybrid-deep-learning-framework-for-retinal-disease-classification-using-densenet201-and-shap-optimized-xlstm/]]></link>
			<title>An Explainable Hybrid Deep Learning Framework for Retinal Disease Classification Using DenseNet201 and SHAP-Optimized xLSTM</title>
			<pubDate><![CDATA[Tue, 18 Aug 2026 10:30:11 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/critical-success-factors-for-cloud-based-erp-adoption-in-manufacturing-industry-a-systematic-literature-review/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/critical-success-factors-for-cloud-based-erp-adoption-in-manufacturing-industry-a-systematic-literature-review/]]></link>
			<title>Critical Success Factors for Cloud-Based ERP Adoption in Manufacturing Industry: A Systematic Literature Review</title>
			<pubDate><![CDATA[Tue, 18 Aug 2026 09:17:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/defect-aware-hybrid-attention-and-anchor-optimization-for-automated-pcb-defect-detection-in-industrial-inspection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/defect-aware-hybrid-attention-and-anchor-optimization-for-automated-pcb-defect-detection-in-industrial-inspection/]]></link>
			<title>Defect-Aware Hybrid Attention and Anchor Optimization for Automated PCB Defect Detection in Industrial Inspection</title>
			<pubDate><![CDATA[Tue, 18 Aug 2026 04:40:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-powered-ev-charging-stations-a-structured-review-of-global-technologies-challenges-and-a-sustainable-deployment-roadmap-for-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-powered-ev-charging-stations-a-structured-review-of-global-technologies-challenges-and-a-sustainable-deployment-roadmap-for-bangladesh/]]></link>
			<title>Renewable-Powered EV Charging Stations: A Structured Review of Global Technologies, Challenges, and a Sustainable Deployment Roadmap for Bangladesh</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 19:24:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-assessment-of-fixed-tilt-bifacial-agrivoltaic-systems-for-brri-dhan33-rice-cultivation-in-northern-bangladesh-a-simulation-based-approach/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-assessment-of-fixed-tilt-bifacial-agrivoltaic-systems-for-brri-dhan33-rice-cultivation-in-northern-bangladesh-a-simulation-based-approach/]]></link>
			<title>Techno-Economic Assessment of Fixed-Tilt Bifacial Agrivoltaic Systems for BRRI dhan33 Rice Cultivation in Northern Bangladesh: A Simulation-Based Approach</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 19:22:43 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-deep-learning-for-tuberculosis-detection-in-resource-constrained-settings/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-deep-learning-for-tuberculosis-detection-in-resource-constrained-settings/]]></link>
			<title>Explainable Hybrid Deep Learning for Tuberculosis Detection in Resource-Constrained Settings</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 18:24:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-intelligent-cauliflower-disease-recognition-a-clahe-enhanced-image-processing-and-svm-based-classification-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-intelligent-cauliflower-disease-recognition-a-clahe-enhanced-image-processing-and-svm-based-classification-framework/]]></link>
			<title>Toward Intelligent Cauliflower Disease Recognition: A CLAHE-Enhanced Image Processing and SVM-Based Classification Framework</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 17:17:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-vision-based-gesture-and-eye-blink-controlled-exoskeleton-robotic-hand-for-rehabilitation-of-paralyzed-patients/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-vision-based-gesture-and-eye-blink-controlled-exoskeleton-robotic-hand-for-rehabilitation-of-paralyzed-patients/]]></link>
			<title>A Vision-Based Gesture and Eye-Blink Controlled Exoskeleton Robotic Hand for Rehabilitation of Paralyzed Patients</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 16:38:34 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-educational-rtl-to-gdsii-flow-for-a-non-pipelined-8-bit-accumulator-based-cpu-using-open-source-tools/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-educational-rtl-to-gdsii-flow-for-a-non-pipelined-8-bit-accumulator-based-cpu-using-open-source-tools/]]></link>
			<title>An Educational RTL-to-GDSII Flow for a Non-Pipelined 8-bit Accumulator-Based CPU Using Open-Source Tools</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 15:49:06 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-extraction-with-principal-component-analysis-for-congenital-heart-disease-classification-from-chest-radiographs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-extraction-with-principal-component-analysis-for-congenital-heart-disease-classification-from-chest-radiographs/]]></link>
			<title>Deep Feature Extraction with Principal Component Analysis for Congenital Heart Disease Classification from Chest Radiographs</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 14:58:39 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segment-level-hybrid-digest-authentication-for-compression-aware-surveillance-video-integrity/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segment-level-hybrid-digest-authentication-for-compression-aware-surveillance-video-integrity/]]></link>
			<title>Sequence-Aligned and Cryptographically Chained Hybrid Digests for Compression-Aware Surveillance Video Authentication</title>
			<pubDate><![CDATA[Mon, 17 Aug 2026 13:19:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/towards-interpretable-legendary-pokemon-classification-a-comparative-evaluation-of-machine-learning-models-and-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/towards-interpretable-legendary-pokemon-classification-a-comparative-evaluation-of-machine-learning-models-and-explainable-ai/]]></link>
			<title>Towards Interpretable Legendary Pokémon Classification: A Comparative Evaluation of Machine Learning Models and Explainable AI</title>
			<pubDate><![CDATA[Fri, 21 Aug 2026 17:29:13 +0000]]></pubDate>
		</item>
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