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		<title>NPS Australia Submission System</title>
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		<description><![CDATA[NPS Australia Submission System]]></description>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-fusion-of-cnn-and-vision-transformer-for-automated-osteoporosis-detection-from-knee-x-ray-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-fusion-of-cnn-and-vision-transformer-for-automated-osteoporosis-detection-from-knee-x-ray-images-2/]]></link>
			<title>Deep Feature Fusion of CNN and Vision Transformer for Automated Osteoporosis Detection from Knee X-Ray Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 19:24:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-filtering-techniques-for-signal-enhancement-in-modern-communication-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-filtering-techniques-for-signal-enhancement-in-modern-communication-systems/]]></link>
			<title>Adaptive Filtering Techniques for Signal Enhancement in Modern Communication Systems</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 19:24:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-roi-guided-explainable-deep-ensemble-framework-for-kidney-stone-detection-from-coronal-ct-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-roi-guided-explainable-deep-ensemble-framework-for-kidney-stone-detection-from-coronal-ct-images/]]></link>
			<title>An ROI-Guided Explainable Deep Ensemble Framework for Kidney Stone Detection from Coronal CT Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 18:42:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-efficientnetb0-based-framework-for-multi-class-retinal-disease-classification-using-fundus-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-efficientnetb0-based-framework-for-multi-class-retinal-disease-classification-using-fundus-images-2/]]></link>
			<title>An Explainable EfficientNetB0-Based Framework for Multi-Class Retinal Disease Classification Using Fundus Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 18:28:32 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-bangla-speech-dataset-for-sentence-type-and-emotion-classification-using-traditional-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-bangla-speech-dataset-for-sentence-type-and-emotion-classification-using-traditional-machine-learning/]]></link>
			<title>A Bangla Speech Dataset for Sentence Type and Emotion Classification Using Traditional Machine Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 18:15:27 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rice-based-agrivoltaics-in-northern-bangladesh-a-structured-evidence-synthesis-and-a-simulation-ready-design-framework-for-fixed-tilt-bifacial-systems-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rice-based-agrivoltaics-in-northern-bangladesh-a-structured-evidence-synthesis-and-a-simulation-ready-design-framework-for-fixed-tilt-bifacial-systems-2/]]></link>
			<title>Rice Based Agrivoltaics in Northern Bangladesh: A Structured Evidence Synthesis and a Simulation Ready Design Framework for Fixed Tilt Bifacial Systems</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 18:05:47 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-benchmark-of-recurrent-convolutional-and-attention-based-models-for-radar-emitter-classification-under-photon-starved-conditions-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-benchmark-of-recurrent-convolutional-and-attention-based-models-for-radar-emitter-classification-under-photon-starved-conditions-2/]]></link>
			<title>A Comprehensive Benchmark of Recurrent, Convolutional, and Hybrid Models for Radar Emitter Classification Under Quantum Noise</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 18:00:15 +0000]]></pubDate>
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					<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[Sat, 31 Oct 2026 17:53:38 +0000]]></pubDate>
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					<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[Sat, 31 Oct 2026 17:52:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vehicle-to-grid-for-renewable-energy-integration-in-bangladesh-a-degradation-aware-critical-review-and-future-research-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vehicle-to-grid-for-renewable-energy-integration-in-bangladesh-a-degradation-aware-critical-review-and-future-research-framework/]]></link>
			<title>Vehicle-to-Grid for Renewable Energy Integration in Bangladesh: A Degradation-Aware Critical Review and Future Research Framework</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:51:08 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-2/]]></link>
			<title>A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:49:49 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fedpdm-privacy-preserving-federated-learning-for-remaining-useful-life-prediction-across-heterogeneous-industrial-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fedpdm-privacy-preserving-federated-learning-for-remaining-useful-life-prediction-across-heterogeneous-industrial-systems/]]></link>
			<title>FedPdM: Privacy-Preserving Federated Learning for Remaining Useful Life Prediction Across Heterogeneous Industrial Systems</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:39:21 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/llm-web-agent-security-for-indirect-prompt-injection-analysis-through-action-level-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/llm-web-agent-security-for-indirect-prompt-injection-analysis-through-action-level-evaluation/]]></link>
			<title>LLM Web Agent Security for Indirect Prompt Injection Analysis through Action-Level Evaluation</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:31:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-plant-disease-classification-and-targeted-remedial-strategies-using-few-shot-learning-in-mobile-applications/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-plant-disease-classification-and-targeted-remedial-strategies-using-few-shot-learning-in-mobile-applications/]]></link>
			<title>Real-Time Plant Disease Classification and Targeted Remedial Strategies Using Few-Shot Learning in Mobile Applications</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:28:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-ai-based-parkinsons-disease-detection-from-voice-data-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-ai-based-parkinsons-disease-detection-from-voice-data-using-machine-learning/]]></link>
			<title>Explainable AI Based Parkinson’s Disease Detection From Voice Data Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:11:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-feature-fusion-network-for-automated-skin-cancer-detection-from-dermoscopic-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-feature-fusion-network-for-automated-skin-cancer-detection-from-dermoscopic-images/]]></link>
			<title>Explainable Hybrid Feature Fusion Network for Automated Skin Cancer Detection from Dermoscopic Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:09:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-interpretable-deep-learning-framework-for-diabetic-foot-ulcer-classification-using-multi-optimizer-training-and-genetic-algorithm-selection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-interpretable-deep-learning-framework-for-diabetic-foot-ulcer-classification-using-multi-optimizer-training-and-genetic-algorithm-selection/]]></link>
			<title>An Interpretable Deep Learning Framework for  Diabetic Foot Ulcer Classification Using Multi Optimizer Training and Genetic Algorithm  Selection</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:03:43 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-multi-class-mental-health-detection-from-social-media-text-using-machine-learning-and-transformer-models-a-comparative-study-with-multi-level-shap-analysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-multi-class-mental-health-detection-from-social-media-text-using-machine-learning-and-transformer-models-a-comparative-study-with-multi-level-shap-analysis/]]></link>
			<title>Explainable Multi-Class Mental Health Detection from Social Media Text Using Machine Learning and Transformer Models: A Comparative Study with Multi-Level SHAP Analysis</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 17:03:29 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-simulation-based-machine-learning-framework-for-quantum-noise-channel-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-simulation-based-machine-learning-framework-for-quantum-noise-channel-classification/]]></link>
			<title>Classifying Noise Channels in Quantum Teleportation Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 16:59:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/liteformer-effnet-a-lightweight-transfer-learning-framework-for-tree-species-identification-from-leaf-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/liteformer-effnet-a-lightweight-transfer-learning-framework-for-tree-species-identification-from-leaf-images/]]></link>
			<title>LiteFormer-EffNet: A Lightweight Transfer Learning Framework for Tree Species Identification from Leaf Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 16:54:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-ai-based-legal-advisory-system-for-traffic-violation-verification-using-official-traffic-regulations/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-ai-based-legal-advisory-system-for-traffic-violation-verification-using-official-traffic-regulations/]]></link>
			<title>An AI-Based Legal Advisory System for Traffic Violation Verification Using Official Traffic Regulations</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 16:51:16 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-driven-deep-adaptive-learning-framework-for-breast-cancer-classification-using-histopathology-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-driven-deep-adaptive-learning-framework-for-breast-cancer-classification-using-histopathology-images/]]></link>
			<title>An Explainable AI-Driven Deep Adaptive Learning Framework for Breast Cancer Classification Using Histopathology Images</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 16:41:28 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multimodal-framework-for-bangla-fake-news-classification-through-cross-attention-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multimodal-framework-for-bangla-fake-news-classification-through-cross-attention-fusion/]]></link>
			<title>A Multimodal Framework for Bangla Fake News Classification through Cross-Attention Fusion</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 16:39:31 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multilabel-emotion-recognition-using-a-label-query-dynamic-dependency-network/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multilabel-emotion-recognition-using-a-label-query-dynamic-dependency-network/]]></link>
			<title>Multilabel Emotion Recognition Using a Label-Query Dynamic Dependency Network</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 15:54:09 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lightskinnet-protocol-aware-skin-lesion-classification-with-segmentation-guided-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lightskinnet-protocol-aware-skin-lesion-classification-with-segmentation-guided-networks/]]></link>
			<title>LightSkinNet: Protocol-Aware Skin Lesion Classification with Segmentation-Guided Networks</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 14:44:27 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-and-class-balanced-gradient-boosting-framework-for-heart-disease-prediction-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-and-class-balanced-gradient-boosting-framework-for-heart-disease-prediction-2/]]></link>
			<title>An Explainable and Class-Balanced Gradient Boosting Framework for Heart Disease Prediction</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 14:30:12 +0000]]></pubDate>
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			<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 Optimized MAC Protocol for WBANs Managing Multi-class and Multi-load in IEEE 802.15.6 Superframes Using Hysteretic Q-learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 13:57:03 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-implementation-of-a-resilient-multi-branch-wan-for-sonali-bank-plc-eigrp-routing-dual-isp-redundancy-and-hierarchical-ip-addressing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-implementation-of-a-resilient-multi-branch-wan-for-sonali-bank-plc-eigrp-routing-dual-isp-redundancy-and-hierarchical-ip-addressing/]]></link>
			<title>Design and Implementation of a Resilient Multi-Branch WAN for Sonali Bank PLC: EIGRP Routing, Dual-ISP Redundancy, and Hierarchical IP Addressing</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 13:36:30 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-a-piezoresistive-e-textile-sock-for-in-situ-dynamic-plantar-pressure-assessment-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-a-piezoresistive-e-textile-sock-for-in-situ-dynamic-plantar-pressure-assessment-3/]]></link>
			<title>Development of a Piezoresistive E-Textile Sock for In Situ Dynamic Plantar Pressure Assessment</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 13:20:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-enhanced-digital-twin-with-hardware-in-the-loop-deployment-for-real-time-lithium-ion-battery-state-of-health-estimation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-enhanced-digital-twin-with-hardware-in-the-loop-deployment-for-real-time-lithium-ion-battery-state-of-health-estimation/]]></link>
			<title>AI-Enhanced Digital Twin with Hardware-in-the-Loop Deployment for Real-Time Lithium-Ion Battery State-of-Health Estimation</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 13:15:27 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-context-aware-xgboost-framework-for-vulnerability-remediation-recommendation-using-github-security-advisories/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-context-aware-xgboost-framework-for-vulnerability-remediation-recommendation-using-github-security-advisories/]]></link>
			<title>A Context-Aware XGBoost Framework for Vulnerability Remediation Recommendation Using GitHub Security Advisories</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 13:04:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-3/]]></link>
			<title>An Attention-Enhanced Explainable Deep Learning Framework for Cervical Cancer Detection Through Microscopic Image Analysis</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 12:59:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study/]]></link>
			<title>Medprice-XAI-BD: A Kind of Explainable &amp; Uncertainty Mindful Machine Learning Framework, for Medicine Price Prediction in Bangladesh</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 12:49:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/computer-vision-based-soil-health-analysis-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/computer-vision-based-soil-health-analysis-using-machine-learning/]]></link>
			<title>Computer Vision-based Soil Health Analysis using Machine Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 12:49:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study-2/]]></link>
			<title>The “Aakash Deep” Hub: A Sustainable and AI- Driven Li-Fi Framework for the Consumer Market in Bangladesh</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 12:48:19 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/chi-square-feature-selection-and-smote-balanced-ensemble-learning-for-explainable-cervical-cancer-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/chi-square-feature-selection-and-smote-balanced-ensemble-learning-for-explainable-cervical-cancer-risk-prediction/]]></link>
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			<pubDate><![CDATA[Sat, 31 Oct 2026 12:35:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/esg-and-investment-decisions-the-moderating-role-of-risk-tolerance-among-individual-investors-in-bangladesh-2/]]></guid>
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			<pubDate><![CDATA[Sat, 31 Oct 2026 12:30:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglaclr-structure-aware-contrastive-representation-learning-for-bengali-character-recognition/]]></guid>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/provable-moving-target-defense-for-cyber-physical-networks-from-the-security-performance-frontier-to-no-regret-defense/]]></guid>
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			<pubDate><![CDATA[Sat, 31 Oct 2026 12:16:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/novel-attacks-arrive-diffuse-rethinking-few-shot-open-set-enrollment-for-ros-intrusion-detection/]]></guid>
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