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		<title>NPS Australia Submission System</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-ceilings-in-generative-ai-learning-analytics-a-six-model-benchmark-of-burnout-risk-grade-change-and-skill-retention-across-50000-student-records/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-ceilings-in-generative-ai-learning-analytics-a-six-model-benchmark-of-burnout-risk-grade-change-and-skill-retention-across-50000-student-records/]]></link>
			<title>Predictive Ceilings in Generative-AI Learning Analytics: A Six-Model Benchmark of Burnout Risk, Grade Change, and Skill Retention Across 50000 Student Records</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:20:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/myth-model-and-reality-nli-framework-for-hallucination-mitigation-in-slm-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/myth-model-and-reality-nli-framework-for-hallucination-mitigation-in-slm-2/]]></link>
			<title>Myth, Model and Reality NLI Framework for Hallucination Mitigation in SLM</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:18:46 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/time-aware-explainable-machine-learning-for-co2-emission-analysis-in-bangladesh-decoupling-decomposition-and-2030-scenarios/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/time-aware-explainable-machine-learning-for-co2-emission-analysis-in-bangladesh-decoupling-decomposition-and-2030-scenarios/]]></link>
			<title>Time-Aware Explainable Machine Learning for CO2 Emission Analysis in Bangladesh: Decoupling, Decomposition, and 2030 Scenarios</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:16:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ompact-multi-scale-attention-cnn-for-brain-mri-tumour-detection-under-a-duplicate-aware-evaluation-protocol/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ompact-multi-scale-attention-cnn-for-brain-mri-tumour-detection-under-a-duplicate-aware-evaluation-protocol/]]></link>
			<title>A Compact Multi Scale Attention CNN for Brain MRI Tumour Detection Under a Duplicate Aware Evaluation Protocol</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:15:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-fine-tuning-does-not-help-a-two-stage-efficientnet-b0-evaluation-for-four-class-lung-ct-classification-on-a-small-cohort/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-fine-tuning-does-not-help-a-two-stage-efficientnet-b0-evaluation-for-four-class-lung-ct-classification-on-a-small-cohort/]]></link>
			<title>When Fine Tuning Does Not Help: A Two Stage EfficientNet B0 Evaluation for Four Class Lung CT Classification on a Small Cohort</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:13:05 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-implementation-of-an-intelligent-solar-panel-monitoring-and-single-axis-auto-tracking-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-implementation-of-an-intelligent-solar-panel-monitoring-and-single-axis-auto-tracking-system/]]></link>
			<title>Design and Implementation of an Intelligent Solar Panel Monitoring and Single-Axis Auto-Tracking System</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:05:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conservation-residual-augmented-learning-for-telemetry-integrity-monitoring-of-rooftop-solar-storage-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conservation-residual-augmented-learning-for-telemetry-integrity-monitoring-of-rooftop-solar-storage-systems/]]></link>
			<title>Conservation-Residual Augmented Learning for Telemetry Integrity Monitoring of Rooftop Solar-Storage Systems</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:00:39 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/armeet-a-dual-mode-mobile-system-for-ar-anchored-and-virtual-room-multi-user-meetings-with-spatial-presentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/armeet-a-dual-mode-mobile-system-for-ar-anchored-and-virtual-room-multi-user-meetings-with-spatial-presentation/]]></link>
			<title>ARMeet: A Dual-Mode Mobile System for AR-Anchored and Virtual-Room Multi-User Meetings with Spatial Presentation</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:56:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tcnlightgbm-a-hybrid-deep-learning-gradient-boosting-architecture-for-interpretable-short-term-electricity-demand-forecasting-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tcnlightgbm-a-hybrid-deep-learning-gradient-boosting-architecture-for-interpretable-short-term-electricity-demand-forecasting-in-bangladesh/]]></link>
			<title>TCN+LightGBM: A Hybrid Deep Learning–Gradient Boosting Architecture for Interpretable Short-Term Electricity Demand Forecasting in Bangladesh</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:55:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/n-o-r-a-a-multimodal-edge-ai-framework-for-offline-context-aware-intelligent-assistance/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/n-o-r-a-a-multimodal-edge-ai-framework-for-offline-context-aware-intelligent-assistance/]]></link>
			<title>N.O.R.A.: A Multimodal Edge-AI Framework for Offline Context-Aware Intelligent Assistance</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:52:20 +0000]]></pubDate>
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			<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 Models</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:44:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automatic-detection-of-total-sleep-time-using-nasal-airflow-and-pulse-oximetry-signals/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automatic-detection-of-total-sleep-time-using-nasal-airflow-and-pulse-oximetry-signals/]]></link>
			<title>Automatic Detection of Total Sleep Time using Nasal Airflow and Pulse Oximetry Signals</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:41:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iot-enabled-smart-aquarium-monitoring-and-automated-cleaning-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iot-enabled-smart-aquarium-monitoring-and-automated-cleaning-system/]]></link>
			<title>IoT-Enabled Smart Aquarium Monitoring and Automated Cleaning System</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:40:42 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/decl-disease-evidence-consistency-learning-for-robust-plant-disease-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/decl-disease-evidence-consistency-learning-for-robust-plant-disease-classification/]]></link>
			<title>DECL: Disease Evidence Consistency Learning for Robust Plant Disease Classification</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:33:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sorolipi-automatic-bangla-image-captioning-using-deep-learning-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sorolipi-automatic-bangla-image-captioning-using-deep-learning-models/]]></link>
			<title>SOROLIPI: Automatic Bangla Image Captioning Using Deep Learning Models</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:30:48 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-based-real-estate-price-prediction-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-based-real-estate-price-prediction-2/]]></link>
			<title>Machine Learning Based Real Estate Price Prediction</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:29:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multilingual-fake-news-classification-in-bangla-and-english-with-ml-and-transformer-architectures/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multilingual-fake-news-classification-in-bangla-and-english-with-ml-and-transformer-architectures/]]></link>
			<title>Multilingual Fake News Classification in Bangla and English with ML and Transformer Architectures.</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:15:40 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-federated-learning-for-factory-level-disease-burden-prediction-in-bangladeshs-ready-made-garment-industry/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-federated-learning-for-factory-level-disease-burden-prediction-in-bangladeshs-ready-made-garment-industry/]]></link>
			<title>Explainable Federated Learning for Factory-Level Disease Burden Prediction in Bangladesh’s Ready-Made Garment Industry</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 12:10:55 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-corpus-transfer-and-label-calibrated-learning-for-imbalanced-multi-label-bangla-hate-speech-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-corpus-transfer-and-label-calibrated-learning-for-imbalanced-multi-label-bangla-hate-speech-detection/]]></link>
			<title>Cross-Corpus Transfer and Label-Calibrated Learning for Imbalanced Multi-Label Bangla Hate Speech Detection</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:52:42 +0000]]></pubDate>
		</item>
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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[Sun, 16 Aug 2026 11:52:40 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-extensive-missingness-in-newspaper-reported-suicide-data-through-imputation-and-clustering-techniques/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-extensive-missingness-in-newspaper-reported-suicide-data-through-imputation-and-clustering-techniques/]]></link>
			<title>Addressing Extensive Missingness in Newspaper-Reported Suicide Data Through Imputation and Clustering Techniques</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:45:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fish-disease-classification-through-deep-fusion-of-visual-and-environmental-data-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fish-disease-classification-through-deep-fusion-of-visual-and-environmental-data-2/]]></link>
			<title>Fish Disease Classification Through Deep Fusion of Visual and Environmental Data</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:43:47 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conditional-gans-for-joint-facial-denoising-and-multi-angle-synthesis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conditional-gans-for-joint-facial-denoising-and-multi-angle-synthesis/]]></link>
			<title>Conditional GANs for Joint Facial Denoising and Multi-Angle Synthesis</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:33:09 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-privacy-preserving-depth-based-human-identification-framework-using-consumer-truedepth-sensing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-privacy-preserving-depth-based-human-identification-framework-using-consumer-truedepth-sensing/]]></link>
			<title>Not correct</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:29:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-privacy-preserving-depth-based-human-identification-framework-using-consumer-truedepth-sensing-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-privacy-preserving-depth-based-human-identification-framework-using-consumer-truedepth-sensing-2/]]></link>
			<title>A Privacy-Preserving Depth-Based Human Identification Framework Using Consumer TrueDepth Sensing</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:27:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-graphsage-ann-for-lung-cancer-risk-prediction-using-patient-similarity-graphs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-graphsage-ann-for-lung-cancer-risk-prediction-using-patient-similarity-graphs/]]></link>
			<title>Hybrid GraphSAGE–ANN for Lung Cancer Risk Prediction Using Patient Similarity Graphs</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:21:33 +0000]]></pubDate>
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			<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[Sun, 16 Aug 2026 11:13:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-empirical-evaluation-of-quantum-kernel-stability-in-network-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-empirical-evaluation-of-quantum-kernel-stability-in-network-intrusion-detection/]]></link>
			<title>An Empirical Evaluation of Quantum Kernel Stability in Network Intrusion Detection</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 11:06:34 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-blockchain-based-revocation-and-expiry-aware-framework-using-ahibe-for-secure-document-verification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-blockchain-based-revocation-and-expiry-aware-framework-using-ahibe-for-secure-document-verification/]]></link>
			<title>A Blockchain-Based Revocation and Expiry Aware Framework Using AHIBE for Secure Document Verification</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 10:53:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rule-augmented-stacked-ensemble-framework-for-market-basket-completion-with-leak-free-customer-history/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rule-augmented-stacked-ensemble-framework-for-market-basket-completion-with-leak-free-customer-history/]]></link>
			<title>A Hybrid Rule-Augmented Stacked Ensemble Framework for Market Basket Completion with Leak-Free Customer History</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 10:48:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tumormultinet-a-statistically-validated-hybrid-deep-learning-framework-for-brain-tumor-mri-classification-and-segmentation-on-brisc2025-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tumormultinet-a-statistically-validated-hybrid-deep-learning-framework-for-brain-tumor-mri-classification-and-segmentation-on-brisc2025-with-explainable-ai/]]></link>
			<title>TumorMultiNet: A Statistically Validated Hybrid Deep Learning Framework for Brain Tumor MRI Classification and Segmentation on BRISC2025 with Explainable AI</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 10:21:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-hybrid-framework-for-pneumonia-detection-from-chest-x-ray-images-with-xai-and-real-time-web-interface/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-hybrid-framework-for-pneumonia-detection-from-chest-x-ray-images-with-xai-and-real-time-web-interface/]]></link>
			<title>Deep Learning-Based Hybrid Framework For Pneumonia Detection From Chest X-Ray Images with XAI And Real-time Web-interface</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 10:15:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-empirical-comparison-of-monolithic-and-microservices-architectures-for-an-e-commerce-application/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-empirical-comparison-of-monolithic-and-microservices-architectures-for-an-e-commerce-application/]]></link>
			<title>An Empirical Comparison of Monolithic and Microservices Architectures for an E-Commerce Application</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 10:05:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/driving-sustainable-social-transformation-in-bangladesh-social-business-practice-in-rural-communities-a-mixed-methods-study-of-five-grameen-affiliated-social-business-ventures/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/driving-sustainable-social-transformation-in-bangladesh-social-business-practice-in-rural-communities-a-mixed-methods-study-of-five-grameen-affiliated-social-business-ventures/]]></link>
			<title>Driving Sustainable Social Transformation in Bangladesh: Social Business Practice in Rural Communities: A Mixed-Methods Study of Five Grameen-Affiliated Social Business Ventures</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 10:01:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-backbone-ensemble-learning-for-robust-breast-cancer-classification-on-the-mini-ddsm-mammography-dataset/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-backbone-ensemble-learning-for-robust-breast-cancer-classification-on-the-mini-ddsm-mammography-dataset/]]></link>
			<title>Multi-Backbone Ensemble Learning for Robust Breast Cancer Classification on the Mini-DDSM Mammography Dataset</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 09:34:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/association-rule-mining-in-picture-fuzzy-data-mining-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/association-rule-mining-in-picture-fuzzy-data-mining-2/]]></link>
			<title>Association Rule Mining in Picture Fuzzy Data Mining</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 09:32:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-socially-responsible-human-ai-interaction-an-investigation-of-ai-accommodation-to-diverse-human-communication-styles/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-socially-responsible-human-ai-interaction-an-investigation-of-ai-accommodation-to-diverse-human-communication-styles/]]></link>
			<title>Evaluating Socially Responsible Human-AI Interaction: An Investigation of AI Accommodation to Diverse Human Communication Styles</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 09:21:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/view-aware-reliability-framework-for-pneumonia-diagnosis-with-calibration-portability-selective-risk-and-xai-auditing/]]></guid>
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