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		<title>NPS Australia Submission System</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/transfer-learning-for-dermatological-image-classification-a-comparative-study-of-adaptation-strategies-under-leakage-aware-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/transfer-learning-for-dermatological-image-classification-a-comparative-study-of-adaptation-strategies-under-leakage-aware-evaluation/]]></link>
			<title>Transfer Learning for Dermatological Image Classification: A Comparative Study of Adaptation Strategies under Leakage-Aware Evaluation</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 07:40:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/]]></guid>
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			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 01:56:19 +0000]]></pubDate>
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			<title>Bangladeshi Participant</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 22:51:32 +0000]]></pubDate>
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			<title>International Participant</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 20:56:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-serial-rag-engine-for-offline-math-education/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-serial-rag-engine-for-offline-math-education/]]></link>
			<title>Efficient Serial RAG Engine for Offline Math Education</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 20:37:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-decentralized-and-privacy-adaptive-ride-sharing-framework-using-blockchain-and-differential-privacy-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-decentralized-and-privacy-adaptive-ride-sharing-framework-using-blockchain-and-differential-privacy-2/]]></link>
			<title>A Decentralized and Privacy-Adaptive Ride-Sharing Framework Using Blockchain and Differential Privacy</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 19:57:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leveraging-ai-driven-cloud-computing-for-advanced-health-prediction-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leveraging-ai-driven-cloud-computing-for-advanced-health-prediction-models/]]></link>
			<title>Leveraging AI-Driven Cloud Computing for Advanced Health Prediction Models</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 19:53:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rak-ensemble-model-for-reliable-ecg-based-arrhythmia-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rak-ensemble-model-for-reliable-ecg-based-arrhythmia-classification/]]></link>
			<title>A Hybrid RAK Ensemble Model for Reliable ECG Based Arrhythmia Classification</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 19:53:24 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-lung-disease-diagnosis-using-chest-x-ray-with-xai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-lung-disease-diagnosis-using-chest-x-ray-with-xai/]]></link>
			<title>Multi-class Lung Disease Diagnosis Using Chest X-Ray with XAI</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 19:33:05 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-closed-loop-supply-chain-model-for-end-of-life-electronics-under-carbon-tax-policy/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-closed-loop-supply-chain-model-for-end-of-life-electronics-under-carbon-tax-policy/]]></link>
			<title>A Closed-Loop Supply Chain Model for End-of-Life Electronics under Carbon Tax Policy</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 18:25:51 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rsms-a-freertos-based-priority-scheduled-architecture-for-real-time-multi-hazard-detection-using-queue-driven-task-communication-and-bluetooth-alerting/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rsms-a-freertos-based-priority-scheduled-architecture-for-real-time-multi-hazard-detection-using-queue-driven-task-communication-and-bluetooth-alerting/]]></link>
			<title>RSMS: A FreeRTOS-Based Priority-Scheduled Architecture for Real-Time Multi-Hazard Detection Using Queue-Driven Task Communication and Bluetooth Alerting</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 17:28:39 +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[Mon, 28 Sep 2026 17:24:57 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vit-sign-an-explainable-vision-transformer-for-sign-language-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vit-sign-an-explainable-vision-transformer-for-sign-language-recognition/]]></link>
			<title>ViT-Sign: An Explainable Vision Transformer for Sign Language Recognition</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 17:24:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-humor-hides-harm-a-fusion-based-approach-to-decoding-sentiment-in-bengali-memes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-humor-hides-harm-a-fusion-based-approach-to-decoding-sentiment-in-bengali-memes/]]></link>
			<title>When Humor Hides Harm: A Fusion-Based Approach to Decoding Sentiment in Bengali Memes</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 17:22:33 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/clustering-based-undersampling-using-k-means-for-class-imbalanced-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/clustering-based-undersampling-using-k-means-for-class-imbalanced-data/]]></link>
			<title>Clustering-Based Undersampling Using K-Means for Class-Imbalanced Data</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 17:06:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/privacy-preserving-federated-learning-for-icu-mortality-prediction-in-hypotensive-patients-differentially-private-federated-learning-with-a-personalization-ablation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/privacy-preserving-federated-learning-for-icu-mortality-prediction-in-hypotensive-patients-differentially-private-federated-learning-with-a-personalization-ablation/]]></link>
			<title>Privacy-Preserving Federated Learning for ICU Mortality Prediction in Hypotensive Patients: Differentially Private Federated Learning with a Personalization Ablation</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 16:54:23 +0000]]></pubDate>
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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>
			<link><![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/]]></link>
			<title>Provable Moving-Target Defense for Cyber-Physical Networks: From the Security–Performance Frontier to No-Regret Defense</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:59:09 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/safer-rag-explainable-and-calibrated-hallucination-detection-with-selective-prediction-under-distribution-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/safer-rag-explainable-and-calibrated-hallucination-detection-with-selective-prediction-under-distribution-shift/]]></link>
			<title>SAFER-RAG: Explainable and Calibrated Hallucination Detection with Selective Prediction under Distribution Shift</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:54:53 +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>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/novel-attacks-arrive-diffuse-rethinking-few-shot-open-set-enrollment-for-ros-intrusion-detection/]]></link>
			<title>Novel Attacks Arrive Diffuse: Rethinking Few-Shot Open-Set Enrollment for ROS Intrusion Detection</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:51:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iets-stroke-an-imbalance-aware-explainable-and-threshold-tuned-stacking-framework-for-stroke-risk-screening-with-cross-dataset-validation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iets-stroke-an-imbalance-aware-explainable-and-threshold-tuned-stacking-framework-for-stroke-risk-screening-with-cross-dataset-validation/]]></link>
			<title>IETS-Stroke: An Imbalance-Aware, Explainable, and Threshold-Tuned Stacking Framework for Stroke Risk Screening with Cross-Dataset Validation</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:46:27 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/what-fairness-changes-in-synthetic-data-a-controlled-audit/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/what-fairness-changes-in-synthetic-data-a-controlled-audit/]]></link>
			<title>What Fairness Changes in Synthetic Data? A Controlled Audit</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:41:22 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-statistical-and-machine-learning-approach-for-optimizing-critical-quality-a-hybrid-statistical-and-machine-learning-approach-for-optimizing-critical-quality/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-statistical-and-machine-learning-approach-for-optimizing-critical-quality-a-hybrid-statistical-and-machine-learning-approach-for-optimizing-critical-quality/]]></link>
			<title>A Hybrid Statistical and Machine Learning Approach for Optimizing Critical Quality A Hybrid Statistical and Machine Learning Approach for Optimizing Critical Quality</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:28:43 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/belief-state-q-learning-for-dynamic-channel-selection-in-cognitive-radio-networks-a-simulation-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/belief-state-q-learning-for-dynamic-channel-selection-in-cognitive-radio-networks-a-simulation-study/]]></link>
			<title>Belief-State Q-Learning for Dynamic Channel Selection in Cognitive Radio Networks: A Simulation Study</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:17:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/empirical-assessment-of-css-techniques-efficiency-reliability-and-throughput-trade-offs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/empirical-assessment-of-css-techniques-efficiency-reliability-and-throughput-trade-offs/]]></link>
			<title>Empirical Assessment of CSS Techniques: Efficiency, Reliability, and Throughput Trade-offs</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:15:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-approaches-to-child-malnutrition-prediction-in-bangladesh-a-dual-round-bdhs-analysis-with-concept-drift-detection-and-web-based-screening-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-approaches-to-child-malnutrition-prediction-in-bangladesh-a-dual-round-bdhs-analysis-with-concept-drift-detection-and-web-based-screening-2/]]></link>
			<title>Machine Learning Approaches to Child Malnutrition Prediction in Bangladesh: A Dual-Round BDHS Analysis with Concept Drift Detection and Web-Based Screening</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 15:07:21 +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</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 12:36:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/who-did-the-thinking-a-cognitive-control-conceptual-framework-for-student-genai-interaction-in-assessed-ict-tasks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/who-did-the-thinking-a-cognitive-control-conceptual-framework-for-student-genai-interaction-in-assessed-ict-tasks/]]></link>
			<title>Who did the Thinking? A cognitive-control conceptual framework for student-GenAI interaction in assessed ICT tasks</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 12:31:00 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predicting-dinosaur-coloration-from-fossilized-melanosome-data-using-classical-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predicting-dinosaur-coloration-from-fossilized-melanosome-data-using-classical-machine-learning/]]></link>
			<title>Predicting Dinosaur Coloration from Fossilized Melanosome Data Using Classical Machine Learning</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 15:53:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-extended-kalman-filtering-with-lstm-based-signal-quality-assessment-for-gnss-precise-point-positioning-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-extended-kalman-filtering-with-lstm-based-signal-quality-assessment-for-gnss-precise-point-positioning-2/]]></link>
			<title>Adaptive Extended Kalman Filtering with LSTM-Based Signal Quality Assessment for GNSS Precise Point Positioning</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 12:16:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/do-digital-transformations-ensure-sustainable-education-in-the-heis-a-conceptual-framework-based-on-toe-and-rbv/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/do-digital-transformations-ensure-sustainable-education-in-the-heis-a-conceptual-framework-based-on-toe-and-rbv/]]></link>
			<title>Do Digital Transformations Ensure Sustainable Education in the HEIs? A Conceptual Framework Based on TOE and RBV</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 09:56:55 +0000]]></pubDate>
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			<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[Mon, 28 Sep 2026 12:13:34 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/order-without-memory-does-sequential-modeling-actually-help-log-based-anomaly-detection-or-just-the-vocabulary/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/order-without-memory-does-sequential-modeling-actually-help-log-based-anomaly-detection-or-just-the-vocabulary/]]></link>
			<title>Order Without Memory: Why a Vocabulary-Only Frequency Baseline Outperforms Every Sequential Model in Log Anomaly Detection</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 21:24:39 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-large-scale-performance-evaluation-of-ml-based-and-deep-neural-models-in-evil-twin-attack-identification-using-a-hybrid-ieee-802-11-dataset/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-large-scale-performance-evaluation-of-ml-based-and-deep-neural-models-in-evil-twin-attack-identification-using-a-hybrid-ieee-802-11-dataset/]]></link>
			<title>A Large-Scale Performance Evaluation of ML-Based and Deep-Neural Models in Evil Twin Attack Identification Using a Hybrid IEEE 802.11 Dataset</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 12:24:16 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-domain-invariant-multi-scale-graph-temporal-learning-for-cross-environment-wi-fi-deauthentication-detection-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-domain-invariant-multi-scale-graph-temporal-learning-for-cross-environment-wi-fi-deauthentication-detection-2/]]></link>
			<title>A Domain-Invariant Multi-Scale Graph Temporal Learning for Cross-Environment  Wi-Fi Deauthentication Detection</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 12:11:46 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/on-device-plant-disease-detection-with-cnn-and-random-forest-ensembles/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/on-device-plant-disease-detection-with-cnn-and-random-forest-ensembles/]]></link>
			<title>On-Device Plant Disease Detection with  CNN and Random Forest Ensembles</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 11:42:35 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-hybrid-cnn-transformer-architecture-for-interpretable-evil-twin-attack-detection-in-wi-fi-networks-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-hybrid-cnn-transformer-architecture-for-interpretable-evil-twin-attack-detection-in-wi-fi-networks-2/]]></link>
			<title>A Lightweight Hybrid CNN-Transformer Architecture for Interpretable Evil Twin Attack Detection in Wi-Fi Networks</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 11:25:39 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-evaluation-of-tree-based-models-for-binary-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-evaluation-of-tree-based-models-for-binary-intrusion-detection/]]></link>
			<title>Leakage-Controlled Evaluation of Tree-Based Models for Binary Intrusion Detection</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 12:00:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fostering-sustainable-entrepreneurial-intention-among-university-students-in-bangladesh-the-roles-of-digital-skills-entrepreneurship-education-and-innovation-orientation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fostering-sustainable-entrepreneurial-intention-among-university-students-in-bangladesh-the-roles-of-digital-skills-entrepreneurship-education-and-innovation-orientation/]]></link>
			<title>Fostering Sustainable Entrepreneurial Intention among University Students in Bangladesh: The Roles of Digital Skills, Entrepreneurship Education, and Innovation Orientation</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 09:53:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/packages/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/packages/]]></link>
			<title>Packages</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 10:10:37 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robustness-and-privacy-trade-offs-in-federated-multimodal-brain-tumor-segmentation-missing-modalities-differential-privacy-and-membership-inference/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robustness-and-privacy-trade-offs-in-federated-multimodal-brain-tumor-segmentation-missing-modalities-differential-privacy-and-membership-inference/]]></link>
			<title>Robustness and Privacy Trade-offs in Federated Multimodal Brain Tumor Segmentation: Missing Modalities, Differential Privacy, and Membership Inference</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 09:24:30 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-prohibition-to-guided-adoption-a-socio-technical-framework-for-human-centered-generative-ai-governance-in-higher-education/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-prohibition-to-guided-adoption-a-socio-technical-framework-for-human-centered-generative-ai-governance-in-higher-education/]]></link>
			<title>From Prohibition to Guided Adoption: A Socio-Technical Framework for Human-Centered Generative AI Governance in Higher Education</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 09:18:42 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interpretable-student-academic-performance-analysis-using-hybrid-feature-selection-and-explainable-artificial-intelligence-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interpretable-student-academic-performance-analysis-using-hybrid-feature-selection-and-explainable-artificial-intelligence-2/]]></link>
			<title>Interpretable Student Academic Performance Analysis Using Hybrid Feature Selection and Explainable Artificial Intelligence</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 09:14:23 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/synergistic-design-of-renewable-energy-and-waste-management-through-urban-drainage-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/synergistic-design-of-renewable-energy-and-waste-management-through-urban-drainage-systems/]]></link>
			<title>Synergistic Design of Renewable Energy and Waste Management through Urban Drainage Systems</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 09:05:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ecg-heartbeat-classification-for-cardiac-disease-detection-using-1d-cnn-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ecg-heartbeat-classification-for-cardiac-disease-detection-using-1d-cnn-with-explainable-ai/]]></link>
			<title>ECG Heartbeat Classification for Cardiac Disease Detection using 1D-CNN with Explainable AI</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 07:59:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ts-gatfcadv-connectivity-guided-graph-attention-for-eeg-schizophrenia-detection-under-subject-independent-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ts-gatfcadv-connectivity-guided-graph-attention-for-eeg-schizophrenia-detection-under-subject-independent-evaluation/]]></link>
			<title>TS-GAT+FC+Adv: Connectivity-Guided Graph Attention for EEG Schizophrenia Detection under Subject-Independent Evaluation</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 07:55:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-self-correction-fails-diagnosing-retrieval-coverage-in-hallucination-mitigation-for-large-language-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-self-correction-fails-diagnosing-retrieval-coverage-in-hallucination-mitigation-for-large-language-models/]]></link>
			<title>When Self-Correction Fails: Diagnosing Retrieval Coverage in Hallucination Mitigation for Large Language Models</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 07:50:40 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multimodal-autonomous-drone-surveillance-for-campus-security-yolo11-based-person-and-id-card-detection-with-acoustic-threat-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multimodal-autonomous-drone-surveillance-for-campus-security-yolo11-based-person-and-id-card-detection-with-acoustic-threat-classification/]]></link>
			<title>Multimodal Autonomous Drone Surveillance for Campus Security: YOLO11-Based Person and ID-Card Detection with Acoustic Threat Classification</title>
			<pubDate><![CDATA[Tue, 22 Sep 2026 07:47:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-two-modalities-power-network-host-fusion-for-electric-vehicle-charging-station-attack-detection-a-controlled-ablation-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-two-modalities-power-network-host-fusion-for-electric-vehicle-charging-station-attack-detection-a-controlled-ablation-study/]]></link>
			<title>Beyond Two Modalities: Power–Network–Host Fusion for Electric Vehicle Charging Station Attack Detection — A Controlled Ablation Study</title>
			<pubDate><![CDATA[Sun, 27 Sep 2026 22:51:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-human-centred-critical-ai-literacy-framework-for-higher-education/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-human-centred-critical-ai-literacy-framework-for-higher-education/]]></link>
			<title>A Human-Centred Critical AI Literacy Framework for Higher Education</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 05:49:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-systematic-framework-for-optimizing-kidney-stone-detection-in-low-data-medical-setting-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-systematic-framework-for-optimizing-kidney-stone-detection-in-low-data-medical-setting-2/]]></link>
			<title>A Systematic framework for optimizing kidney stone detection in low data medical setting</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 02:06:52 +0000]]></pubDate>
		</item>
				</channel>
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