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		<title>NPS Australia Submission System</title>
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			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Thu, 27 Aug 2026 11:09:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-graph-based-framework-with-patient-similarity-clustering-imbalance-aware-learning-and-multi-level-explainability-for-reliable-stroke-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-graph-based-framework-with-patient-similarity-clustering-imbalance-aware-learning-and-multi-level-explainability-for-reliable-stroke-risk-prediction/]]></link>
			<title>A Graph-Based Framework with Patient Similarity Clustering, Imbalance-Aware Learning, and Multi-Level Explainability for Reliable Stroke-Risk Prediction</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 17:31:22 +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[Thu, 03 Sep 2026 17:02:11 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unipedformer-a-unified-single-stage-vision-transformer-for-joint-pedestrian-detection-and-trajectory-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unipedformer-a-unified-single-stage-vision-transformer-for-joint-pedestrian-detection-and-trajectory-prediction/]]></link>
			<title>UniPedFormer: A Unified Single-Stage Vision Transformer for Joint Pedestrian Detection and Trajectory Prediction</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 16:47:16 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/coopshield-an-iot-based-multimodal-environmental-monitoring-and-safety-system-for-smart-poultry-farming/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/coopshield-an-iot-based-multimodal-environmental-monitoring-and-safety-system-for-smart-poultry-farming/]]></link>
			<title>CoopShield: An IoT-Based Multimodal Environmental Monitoring and Safety System for Smart Poultry Farming</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 16:09:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/simsighs-benchmarking-and-explaining-transformer-models-for-bengali-telecom-complaints-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/simsighs-benchmarking-and-explaining-transformer-models-for-bengali-telecom-complaints-2/]]></link>
			<title>SimSighs: Benchmarking and Explaining Transformer Models for Bengali Telecom Complaints</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 15:51:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/simsighs-benchmarking-and-explaining-transformer-models-for-bengali-telecom-complaints/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/simsighs-benchmarking-and-explaining-transformer-models-for-bengali-telecom-complaints/]]></link>
			<title>SimSighs: Benchmarking and Explaining Transformer Models for Bengali Telecom Complaints</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 15:51:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/electromagnetic-transient-modeling-and-simulation-of-inverter-based-black-start-a-comprehensive-review-of-grid-forming-control-current-limiting-and-system-restoration-dynamics/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/electromagnetic-transient-modeling-and-simulation-of-inverter-based-black-start-a-comprehensive-review-of-grid-forming-control-current-limiting-and-system-restoration-dynamics/]]></link>
			<title>Electromagnetic Transient Modeling and Simulation of Inverter-Based Black Start: A Comprehensive Review of Grid-Forming Control, Current Limiting, and System Restoration Dynamics</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 15:50:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-study-of-machine-learning-algorithms-for-nationwide-air-quality-index-prediction-in-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-study-of-machine-learning-algorithms-for-nationwide-air-quality-index-prediction-in-bangladesh-2/]]></link>
			<title>A Comparative Study of Machine Learning Algorithms for Nationwide Air Quality Index Prediction in Bangladesh</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 15:27:59 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ink-meets-intelligence-a-computer-vision-based-approach-for-bengali-handwritten-character-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ink-meets-intelligence-a-computer-vision-based-approach-for-bengali-handwritten-character-recognition/]]></link>
			<title>Ink Meets Intelligence: A Computer Vision Based Approach for Bengali Handwritten Character Recognition</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 15:16:42 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-quality-control-in-textiles-a-computer-vision-blended-approach-to-fabric-defect-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-quality-control-in-textiles-a-computer-vision-blended-approach-to-fabric-defect-detection/]]></link>
			<title>Automated Quality Control in Textiles: A Computer Vision Blended Approach to Fabric Defect Detection</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 13:34:20 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-spatio-temporal-deep-learning-approach-for-edge-deployable-camera-based-detection-of-cardiac-arrest-symptoms-using-generative-ai-based-synthetic-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-spatio-temporal-deep-learning-approach-for-edge-deployable-camera-based-detection-of-cardiac-arrest-symptoms-using-generative-ai-based-synthetic-data/]]></link>
			<title>A Spatio-Temporal Deep Learning Approach for Edge Deployable Camera-Based Detection of Cardiac Arrest Symptoms Using Generative-AI Based Synthetic Data</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 13:25:17 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-calibrated-hierarchical-xlm-r-for-bilingual-phq-9-depression-severity-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-calibrated-hierarchical-xlm-r-for-bilingual-phq-9-depression-severity-classification/]]></link>
			<title>Explainable Calibrated Hierarchical XLM-R for Bilingual PHQ-9 Depression Severity Classification</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 12:58:16 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/e-who-must-not-be-named-cryptanalysis-of-lcg-based-randomness-in-guillou-quisquater/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/e-who-must-not-be-named-cryptanalysis-of-lcg-based-randomness-in-guillou-quisquater/]]></link>
			<title>e, Who Must Not Be Named: Cryptanalysis of LCG-Based Randomness in Guillou-Quisquater</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 12:30:40 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/privacy-preserving-sentiment-analysis-using-pate-based-federated-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/privacy-preserving-sentiment-analysis-using-pate-based-federated-learning/]]></link>
			<title>Privacy-Preserving Sentiment Analysis using PATE-based Federated Learning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 10:44:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-depression-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-depression-risk-prediction/]]></link>
			<title>Explainable Machine Learning Framework for Depression Risk Prediction</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 10:29:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/diasm-a-bilingual-ai-assisted-mobile-health-application-for-type-2-diabetes-self-management-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/diasm-a-bilingual-ai-assisted-mobile-health-application-for-type-2-diabetes-self-management-in-bangladesh/]]></link>
			<title>DIAsm: A Bilingual AI-Assisted Mobile Health Application for Type 2 Diabetes Self-Management in Bangladesh</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 10:04:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fruits-classification-using-a-custom-dataset-and-ensemble-cnn-models-with-real-time-web-based-deployment/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fruits-classification-using-a-custom-dataset-and-ensemble-cnn-models-with-real-time-web-based-deployment/]]></link>
			<title>Fruits Classification Using a Custom Dataset and Ensemble CNN Models with Real-Time Web-Based Deployment</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 09:46:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multivariate-modeling-of-employee-retention-using-reward-work-life-balance-and-work-environment-factors-in-malaysias-industrial-equipment-sector/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multivariate-modeling-of-employee-retention-using-reward-work-life-balance-and-work-environment-factors-in-malaysias-industrial-equipment-sector/]]></link>
			<title>Multivariate Modeling of Employee Retention Using Reward, Work-Life Balance, and Work Environment Factors in Malaysia’s Industrial Equipment Sector</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 09:34:46 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-autonomous-detection-approach-for-isolated-drones-of-the-swarm-in-3d-environments/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-autonomous-detection-approach-for-isolated-drones-of-the-swarm-in-3d-environments/]]></link>
			<title>An Autonomous Detection Approach for Isolated Drones of the Swarm in 3D Environments</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 08:36:45 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/user-interface-evolution-of-youtube-2005-2026-a-longitudinal-analysis-from-hci-perspective/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/user-interface-evolution-of-youtube-2005-2026-a-longitudinal-analysis-from-hci-perspective/]]></link>
			<title>User Interface Evolution of YouTube (2005-2026): A Longitudinal Analysis from HCI Perspective</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 07:57:17 +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[Thu, 03 Sep 2026 05:26:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/above-chance-below-the-baseline-a-majority-anchored-case-grouped-ablation-for-thyroid-ultrasound-segmentation-and-report-derived-suspicion-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/above-chance-below-the-baseline-a-majority-anchored-case-grouped-ablation-for-thyroid-ultrasound-segmentation-and-report-derived-suspicion-classification/]]></link>
			<title>Above Chance, Below the Baseline: A Majority-Anchored, Case-Grouped Ablation for Thyroid Ultrasound Segmentation and Report-Derived Suspicion Classification</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 05:26:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-rollback-resistant-negotiation-protocol-for-context-adaptive-post-quantum-key-encapsulation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-rollback-resistant-negotiation-protocol-for-context-adaptive-post-quantum-key-encapsulation/]]></link>
			<title>A Rollback-Resistant Negotiation Protocol for Context-Adaptive Post-Quantum Key Encapsulation</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:50:52 +0000]]></pubDate>
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			<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[Thu, 03 Sep 2026 00:50:09 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-driven-transboundary-stacking-framework-for-flash-flood-risk-prediction-in-the-sylhet-basin-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-driven-transboundary-stacking-framework-for-flash-flood-risk-prediction-in-the-sylhet-basin-bangladesh-2/]]></link>
			<title>AI-Driven Transboundary Stacking Framework for Flash Flood Risk Prediction in the Sylhet Basin, Bangladesh</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:48:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/external-validation-of-a-three-backbone-heterogeneous-cnn-ensemble-for-six-class-skin-lesion-classification-a-cross-dataset-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/external-validation-of-a-three-backbone-heterogeneous-cnn-ensemble-for-six-class-skin-lesion-classification-a-cross-dataset-study/]]></link>
			<title>External Validation of a Three-Backbone Heterogeneous CNN Ensemble for Six-Class Skin Lesion Classification: A Cross-Dataset Study</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:47:52 +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 Optimizing MAC Protocol for WBANs Managing Multi-class and Multi-load in IEEE 802.15.6 Superframes Using Hysteretic Q-learning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:46:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-analysis-of-frequency-governor-controllers-under-implementing-free-governor-mode-operation-in-the-bangladesh-national-grid/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-analysis-of-frequency-governor-controllers-under-implementing-free-governor-mode-operation-in-the-bangladesh-national-grid/]]></link>
			<title>Performance Analysis of Frequency Governor Controllers under Implementing Free Governor Mode Operation in the Bangladesh National Grid</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:46:03 +0000]]></pubDate>
		</item>
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			<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>A Simulation-Based Machine Learning Framework for Quantum Noise-Channel Classification</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:45:02 +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, 03 Sep 2026 00:44:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-physics-grounded-explainable-ai-framework-for-false-data-injection-attack-detection-in-smart-grids/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-physics-grounded-explainable-ai-framework-for-false-data-injection-attack-detection-in-smart-grids/]]></link>
			<title>A Physics-Grounded Explainable AI Framework for False Data Injection Attack Detection in Smart Grids</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:43:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multiclass-emotion-detection-of-bangla-verse-text-using-nlp-and-predictive-machine-learning-models-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multiclass-emotion-detection-of-bangla-verse-text-using-nlp-and-predictive-machine-learning-models-2/]]></link>
			<title>Multiclass Emotion Detection of Bangla Verse Text using NLP and Predictive Machine Learning Models</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:42:14 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-balanced-benchmarks-calibration-uncertainty-and-deployment-aware-evaluation-of-prompt-injection-detectors-under-source-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-balanced-benchmarks-calibration-uncertainty-and-deployment-aware-evaluation-of-prompt-injection-detectors-under-source-shift/]]></link>
			<title>Beyond Balanced Benchmarks: Calibration, Uncertainty, and Deployment-Aware Evaluation of Prompt-Injection Detectors under Source Shift</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:40:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-attendance-monitoring-framework-using-fingerprint-authentication-and-facenet-svm-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-attendance-monitoring-framework-using-fingerprint-authentication-and-facenet-svm-recognition/]]></link>
			<title>A Hybrid Attendance Monitoring Framework Using Fingerprint Authentication and FaceNet-SVM Recognition</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:39:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rssdl-ids-a-real-time-self-supervised-deep-learning-framework-for-detecting-known-and-zero-day-cyberattacks-with-explainable-aler/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rssdl-ids-a-real-time-self-supervised-deep-learning-framework-for-detecting-known-and-zero-day-cyberattacks-with-explainable-aler/]]></link>
			<title>RSSDL-IDS: A Real-Time Self-Supervised Deep Learning Framework for Detecting Known and Zero-Day Cyberattacks with Explainable Aler</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:38:46 +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[Thu, 03 Sep 2026 00:37:58 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/company-specific-deep-learning-models-for-next-day-stock-price-prediction-a-comparative-study-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/company-specific-deep-learning-models-for-next-day-stock-price-prediction-a-comparative-study-2/]]></link>
			<title>Company-Specific Deep Learning Models for Next-Day Stock Price Prediction: A Comparative Study</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:37:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/greenvision-a-sustainability-focused-deep-learning-pipeline-with-explainable-ai-for-multiclass-plant-pathogen-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/greenvision-a-sustainability-focused-deep-learning-pipeline-with-explainable-ai-for-multiclass-plant-pathogen-classification/]]></link>
			<title>GreenVision: A Sustainability-Focused Deep Learning Pipeline with Explainable AI for Multiclass Plant Pathogen Classification</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:32:07 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tedm-x-transformer-embedded-dirichlet-mixture-topic-discovery-for-automatic-and-interpretable-text-clustering-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tedm-x-transformer-embedded-dirichlet-mixture-topic-discovery-for-automatic-and-interpretable-text-clustering-2/]]></link>
			<title>TEDM-X: Transformer-Embedded Dirichlet Mixture Topic Discovery for Automatic and Interpretable Text Clustering</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:31:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/broken-tokenisers-and-batch-ordered-corpora-an-audit-of-bangla-religious-hate-speech-detection-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/broken-tokenisers-and-batch-ordered-corpora-an-audit-of-bangla-religious-hate-speech-detection-2/]]></link>
			<title>Broken Tokenisers and Batch-Ordered Corpora: An Audit of Bangla Religious Hate Speech Detection</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:30:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bc-lmf-a-leakage-controlled-multimodal-fusion-framework-for-breast-cancer-hormone-receptor/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bc-lmf-a-leakage-controlled-multimodal-fusion-framework-for-breast-cancer-hormone-receptor/]]></link>
			<title>BC-LMF: A Leakage-Controlled Multimodal Fusion Framework for Breast-Cancer Hormone-Receptor</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:28:08 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bioorbitx-an-explainable-cross-tissue-framework-for-prioritizing-spaceflight-responsive-genes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bioorbitx-an-explainable-cross-tissue-framework-for-prioritizing-spaceflight-responsive-genes/]]></link>
			<title>BioOrbitX: An Explainable Cross-Tissue Framework for Prioritizing Spaceflight-Responsive Genes</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:27:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-energy-adoption-as-a-catalyst-for-business-value-creation-evidence-from-manufacturing-firms-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-energy-adoption-as-a-catalyst-for-business-value-creation-evidence-from-manufacturing-firms-in-bangladesh/]]></link>
			<title>Renewable Energy Adoption as a Catalyst for Business Value Creation: Evidence from Manufacturing Firms in Bangladesh</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:26:54 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-diversity-preserving-hybrid-initialization-genetic-algorithm-for-cuda-accelerated-set-union-knapsack-optimization/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-diversity-preserving-hybrid-initialization-genetic-algorithm-for-cuda-accelerated-set-union-knapsack-optimization/]]></link>
			<title>A Diversity-Preserving Hybrid Initialization Genetic Algorithm for CUDA-Accelerated Set Union Knapsack Optimization</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:25:58 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-heterogeneous-graph-neural-networks-with-severity-weighted-edges-for-clinical-symptom-disease-prediction-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-heterogeneous-graph-neural-networks-with-severity-weighted-edges-for-clinical-symptom-disease-prediction-2/]]></link>
			<title>Explainable Heterogeneous Graph Neural Networks with Severity-Weighted Edges for Clinical Symptom-Disease Prediction</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:25:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/can-i-replace-human-connection-a-study-exploring-human-connection-and-emotional-companionship/]]></guid>
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			<title>“Can AI replace human connection?” A study exploring human connection and emotional companionship.</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:24:06 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-based-heart-disease-prediction-via-multi-dataset-harmonization-and-structural-validation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-based-heart-disease-prediction-via-multi-dataset-harmonization-and-structural-validation/]]></link>
			<title>Machine Learning Based Heart Disease Prediction via Multi-Dataset Harmonization and Structural Validation</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:23:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/analytical-degradation-reserve-sizing-of-pv-battery-systems-considering-lifecycle-aging-and-service-equivalent-battery-replacement-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/analytical-degradation-reserve-sizing-of-pv-battery-systems-considering-lifecycle-aging-and-service-equivalent-battery-replacement-2/]]></link>
			<title>Analytical Degradation-Reserve Sizing of PV–Battery Systems Considering Lifecycle Aging and Service-Equivalent Battery Replacement</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:22:28 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/osteonet-gated-multi-scale-channel-calibration-for-binary-knee-osteoarthritis-screening/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/osteonet-gated-multi-scale-channel-calibration-for-binary-knee-osteoarthritis-screening/]]></link>
			<title>OsteoNet: Gated Multi-Scale Channel Calibration for Binary Knee Osteoarthritis Screening</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 00:21:34 +0000]]></pubDate>
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