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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/esp32-based-smart-fire-and-gas-hazard-detection-with-multi-channel-alert-mechanisms-for-high-risk-urban-buildings/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/esp32-based-smart-fire-and-gas-hazard-detection-with-multi-channel-alert-mechanisms-for-high-risk-urban-buildings/]]></link>
			<title>ESP32-Based Smart Fire and Gas Hazard Detection with Multi-Channel Alert Mechanisms for High-Risk Urban Buildings</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 10:33:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dual-flow-knowledge-distillation-with-category-adaptive-inference-for-unsupervised-industrial-anomaly-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dual-flow-knowledge-distillation-with-category-adaptive-inference-for-unsupervised-industrial-anomaly-detection/]]></link>
			<title>Dual-Flow Knowledge Distillation with Category-Adaptive Inference for Unsupervised Industrial Anomaly Detection</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 10:27:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/policy-driven-deep-learning-framework-for-facial-age-verification-in-senior-citizen-welfare-programs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/policy-driven-deep-learning-framework-for-facial-age-verification-in-senior-citizen-welfare-programs/]]></link>
			<title>Policy-Driven Deep Learning Framework for Facial Age Verification in Senior Citizen Welfare Programs</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 10:22:13 +0000]]></pubDate>
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					<item>
			<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[Sat, 10 Oct 2026 10:13:14 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/handwritten-prescription-recognition-through-transfer-learning-models-evaluation-under-multiple-dataset-partitions-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/handwritten-prescription-recognition-through-transfer-learning-models-evaluation-under-multiple-dataset-partitions-2/]]></link>
			<title>Handwritten Prescription Recognition Through Transfer Learning Models Evaluation Under Multiple Dataset Partitions</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 09:34:17 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/towards-edge-artificial-intelligence-for-predicting-antimicrobial-resistance-in-mycobacterium-tuberculosis-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/towards-edge-artificial-intelligence-for-predicting-antimicrobial-resistance-in-mycobacterium-tuberculosis-2/]]></link>
			<title>Towards Edge Artificial Intelligence for Predicting Antimicrobial Resistance in Mycobacterium tuberculosis</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 09:22:39 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-ransomware-detection-through-cross-family-evaluation-and-behavioral-feature-analysis-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-ransomware-detection-through-cross-family-evaluation-and-behavioral-feature-analysis-2/]]></link>
			<title>Robust Ransomware Detection Through Cross-Family  Evaluation and Behavioral Feature Analysis</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 09:07:40 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-sense-deep-learning-for-early-staging-the-onset-of-diabetes-and-optimizing-insulin-dosages-emanating-recognition-of-activity-patterns/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-sense-deep-learning-for-early-staging-the-onset-of-diabetes-and-optimizing-insulin-dosages-emanating-recognition-of-activity-patterns/]]></link>
			<title>Deep Sense: Deep Learning for Early Staging the Onset of Diabetes and Optimizing Insulin Dosages Emanating Recognition of Activity Patterns</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 08:38:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reliability-and-conflict-aware-closed-loop-multimodal-edge-framework-for-landslide-early-warning-a-simulation-based-algorithmic-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reliability-and-conflict-aware-closed-loop-multimodal-edge-framework-for-landslide-early-warning-a-simulation-based-algorithmic-evaluation/]]></link>
			<title>Reliability and Conflict-Aware Closed-Loop Multimodal Edge Framework for Landslide Early Warning: A Simulation-Based Algorithmic Evaluation</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:52:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/attention-augmented-deep-learning-and-decision-threshold-tuning-for-primary-bone-tumor-classification-in-radiographs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/attention-augmented-deep-learning-and-decision-threshold-tuning-for-primary-bone-tumor-classification-in-radiographs/]]></link>
			<title>Attention-Augmented Deep Learning and Decision-Threshold Tuning for Primary Bone Tumor Classification in Radiographs</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:51:26 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-deep-learning-framework-for-bone-tumor-classification-from-x-ray-images-using-efficientnet-densenet-and-ensemble-voting/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-deep-learning-framework-for-bone-tumor-classification-from-x-ray-images-using-efficientnet-densenet-and-ensemble-voting/]]></link>
			<title>Hybrid Deep Learning Framework for Bone Tumor Classification from X-Ray Images Using EfficientNet, DenseNet, and Ensemble Voting</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:49:42 +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[Sat, 10 Oct 2026 07:28:43 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-antibiotic-resistance-prediction-in-e-coli-utis-clinical-insights-for-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-antibiotic-resistance-prediction-in-e-coli-utis-clinical-insights-for-bangladesh/]]></link>
			<title>Explainable Machine Learning framework for Antibiotic Resistance Prediction in E. coli UTIs: Clinical Insights for Bangladesh</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:24:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-webcam-based-gaze-aware-human-computer-interaction-framework-for-hands-free-digital-reading-and-context-aware-llm-assisted-text-understanding-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-webcam-based-gaze-aware-human-computer-interaction-framework-for-hands-free-digital-reading-and-context-aware-llm-assisted-text-understanding-3/]]></link>
			<title>A Webcam-Based Gaze-Aware Human–Computer Interaction Framework for Hands-Free Digital Reading and Context-Aware LLM-Assisted Text Understanding</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:21:50 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iot-enabled-pneumatic-piston-load-cell-water-level-sensing-and-lora-mesh-networking-for-automated-alternate-wetting-and-drying-awd-irrigation-management-in-rice-cultivation-6/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iot-enabled-pneumatic-piston-load-cell-water-level-sensing-and-lora-mesh-networking-for-automated-alternate-wetting-and-drying-awd-irrigation-management-in-rice-cultivation-6/]]></link>
			<title>IoT-Enabled Pneumatic Piston Load-Cell Water-Level Sensing and LoRa Mesh Networking for Automated Alternate Wetting and Drying (AWD) Irrigation Management in Rice Cultivation</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:21:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainability-in-higher-education-institutions-heis-two-step-assessment-approach-for-least-developed-countries/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainability-in-higher-education-institutions-heis-two-step-assessment-approach-for-least-developed-countries/]]></link>
			<title>Sustainability in Higher Education Institutions (HEIs): Two-Step Assessment Approach for Least Developed Countries</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 07:02:16 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/concept-drift-detection-in-streaming-bangla-text-using-an-ensemble-statistical-framework-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/concept-drift-detection-in-streaming-bangla-text-using-an-ensemble-statistical-framework-2/]]></link>
			<title>Concept Drift Detection in Streaming Bangla Text Using an Ensemble Statistical Framework</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 06:25:06 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 10 Oct 2026 06:17:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/]]></link>
			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 06:04:52 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hemastack-harnessing-heterogeneous-stacking-with-neural-meta-learning-and-dual-explainability-for-cost-effective-dengue-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hemastack-harnessing-heterogeneous-stacking-with-neural-meta-learning-and-dual-explainability-for-cost-effective-dengue-diagnosis/]]></link>
			<title>HemaStack: Harnessing Heterogeneous Stacking with Neural Meta-Learning and Dual Explainability for Cost-Effective Dengue Diagnosis</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 05:52:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/the-impact-of-gpt-and-large-language-models-llms-on-students-academic-performance/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/the-impact-of-gpt-and-large-language-models-llms-on-students-academic-performance/]]></link>
			<title>The Impact of Generative Pre-trained Transformer and Large Language Models on Students’ Academic Performance</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 05:24:30 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fairmoe-surv-a-fairness-gated-neuro-symbolic-mixture-of-experts-for-equitable-clinical-risk-prediction-with-cross-cohort-validation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fairmoe-surv-a-fairness-gated-neuro-symbolic-mixture-of-experts-for-equitable-clinical-risk-prediction-with-cross-cohort-validation/]]></link>
			<title>FairMoE-Surv: A Fairness-Gated Neuro-Symbolic Mixture-of-Experts for Equitable Clinical Risk Prediction with Cross-Cohort Validation</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 04:23:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/triyield-xai-an-explainable-ensemble-model-for-weather-and-geospatial-driven-aman-aus-and-boro-yield-prediction-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/triyield-xai-an-explainable-ensemble-model-for-weather-and-geospatial-driven-aman-aus-and-boro-yield-prediction-in-bangladesh/]]></link>
			<title>TriYield-XAI: An Explainable Ensemble model for Weather and Geospatial-Driven Aman, Aus, and Boro Yield Prediction in Bangladesh</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 04:20:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-deep-learning-approach-for-multi-class-lung-disease-classification-from-chest-x-rays-with-fused-gradcam-localization/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-deep-learning-approach-for-multi-class-lung-disease-classification-from-chest-x-rays-with-fused-gradcam-localization/]]></link>
			<title>A Benchmark of Fake Review Detection Using Machine Learning in E-Commerce</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 04:20:17 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/device-optimization-and-defect-analysis-of-sr3bicl3-based-perovskite-solar-cells-by-scaps-1d/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/device-optimization-and-defect-analysis-of-sr3bicl3-based-perovskite-solar-cells-by-scaps-1d/]]></link>
			<title>Device Optimization and Defect Analysis of Sr3BiCl3-Based Perovskite Solar Cells by SCAPS-1D</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 04:13:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cmsa-net-cross-modal-sparse-attention-and-generative-representation-repair-for-multimodal-classification-under-missing-inputs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cmsa-net-cross-modal-sparse-attention-and-generative-representation-repair-for-multimodal-classification-under-missing-inputs/]]></link>
			<title>CMSA-Net: Cross-Modal Sparse Attention and Generative Representation Repair for Multimodal Classification Under Missing Inputs</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 04:10:19 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lung-ensemble-a-secure-multi-stage-diagnostic-pipeline-for-multi-class-respiratory-disease-detection-using-a-stacked-ensemble-and-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lung-ensemble-a-secure-multi-stage-diagnostic-pipeline-for-multi-class-respiratory-disease-detection-using-a-stacked-ensemble-and-explainable-ai/]]></link>
			<title>Lung-Ensemble: A Secure Multi-Stage Diagnostic Pipeline for Multi-Class Respiratory Disease Detection using a Stacked Ensemble and Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 03:57:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-federated-learning-for-on-chain-uav-trust-scoring-in-blockchain-based-medical-delivery/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-federated-learning-for-on-chain-uav-trust-scoring-in-blockchain-based-medical-delivery/]]></link>
			<title>Explainable Federated Learning for On-Chain UAV Trust Scoring in Blockchain-Based Medical Delivery</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 03:54:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fabrication-of-jute-latex-laminated-composite-for-packaging-material/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fabrication-of-jute-latex-laminated-composite-for-packaging-material/]]></link>
			<title>Fabrication of Jute Latex Laminated Composite for Packaging Material</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 03:48:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-techno-economic-framework-for-divisional-renewable-energy-cost-analysis-across-bangladeshs-grid-zones-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-techno-economic-framework-for-divisional-renewable-energy-cost-analysis-across-bangladeshs-grid-zones-using-machine-learning/]]></link>
			<title>A Techno-Economic Framework for Divisional Renewable Energy Cost Analysis across Bangladesh&#8217;s Grid Zones Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 03:42:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/optical-performance-analysis-and-thickness-optimization-of-a-mapbi₃-based-two-terminal-perovskite-tandem-solar-cell-using-fdtd-simulation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/optical-performance-analysis-and-thickness-optimization-of-a-mapbi₃-based-two-terminal-perovskite-tandem-solar-cell-using-fdtd-simulation/]]></link>
			<title>Optical Performance Analysis and Thickness Optimization of a MAPbI₃-Based Two-Terminal Perovskite Tandem Solar Cell Using FDTD Simulation</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 03:02:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/roadaccidentscenes-a-comprehensive-annotated-image-dataset-of-accident-and-non-accident-scenes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/roadaccidentscenes-a-comprehensive-annotated-image-dataset-of-accident-and-non-accident-scenes/]]></link>
			<title>RoadAccidentScenes: A comprehensive annotated image dataset of accident and non-accident scenes</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 02:32:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/latency-aware-federated-learning-for-network-intrusion-detection-under-non-iid-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/latency-aware-federated-learning-for-network-intrusion-detection-under-non-iid-data/]]></link>
			<title>Latency-Aware Federated Learning for Network Intrusion Detection under Non-IID Data</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 02:27:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reconciling-published-wave-energy-estimates-for-coastal-bangladesh-a-comparative-analysis-with-matlab-based-resource-and-cost-reconstruction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reconciling-published-wave-energy-estimates-for-coastal-bangladesh-a-comparative-analysis-with-matlab-based-resource-and-cost-reconstruction/]]></link>
			<title>Reconciling Published Wave Energy Estimates for  Coastal Bangladesh: A Comparative Analysis with  MATLAB-Based Resource and Cost Reconstruction</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 22:27:34 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-free-calibrated-and-explainable-machine-learning-for-heart-disease-screening-from-large-scale-brfss-survey-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-free-calibrated-and-explainable-machine-learning-for-heart-disease-screening-from-large-scale-brfss-survey-data/]]></link>
			<title>Leakage-Free, Calibrated, and Explainable Machine Learning for Heart-Disease Screening from Large-Scale BRFSS Survey Data</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 20:34:49 +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>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglaclr-structure-aware-contrastive-representation-learning-for-bengali-character-recognition/]]></link>
			<title>BanglaCLR: Structure-Aware Contrastive Representation Learning for Bengali Character Recognition</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 19:42:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-chest-disease-classification-from-x-rays-using-pca-enhanced-vision-transformers-and-multi-method-explainability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-chest-disease-classification-from-x-rays-using-pca-enhanced-vision-transformers-and-multi-method-explainability/]]></link>
			<title>Multi-Class Chest Disease Classification from X-Rays Using PCA-Enhanced Vision Transformers and Multi-Method Explainability</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 19:41:40 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/caliber-pre-generation-gated-image-exemplar-backed-retrieval-augmented-generation-for-trustworthy-dermoscopic-decision-support/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/caliber-pre-generation-gated-image-exemplar-backed-retrieval-augmented-generation-for-trustworthy-dermoscopic-decision-support/]]></link>
			<title>CALIBER: Pre-Generation Gated Image-Exemplar-Backed Retrieval-Augmented Generation for Trustworthy Dermoscopic Decision Support</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 19:13:11 +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[Fri, 09 Oct 2026 19:04:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-attention-enhanced-lightweight-cnn-with-cross-domain-robustness-for-edge-based-plant-disease-identification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-attention-enhanced-lightweight-cnn-with-cross-domain-robustness-for-edge-based-plant-disease-identification/]]></link>
			<title>An Attention-Enhanced Lightweight CNN with Cross-Domain Robustness for Edge-Based Plant Disease Identification</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 18:07:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-view-sequence-ensemble-fusion-model-for-predicting-cancer-associated-microrna-gene-interactions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-view-sequence-ensemble-fusion-model-for-predicting-cancer-associated-microrna-gene-interactions/]]></link>
			<title>A Multi-View Sequence–Ensemble Fusion Model for Predicting Cancer-Associated microRNA–Gene Interactions</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:49:48 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/heterogeneous-relation-aware-attention-improves-cold-start-mirna-disease-association-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/heterogeneous-relation-aware-attention-improves-cold-start-mirna-disease-association-prediction/]]></link>
			<title>Heterogeneous Relation-Aware Attention Improves Cold-Start miRNA–Disease Association Prediction</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:48:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-driven-single-cell-rna-seq-analysis-for-cell-classification-feature-discovery-and-functional-annotation-in-glioblastoma/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-driven-single-cell-rna-seq-analysis-for-cell-classification-feature-discovery-and-functional-annotation-in-glioblastoma/]]></link>
			<title>Machine Learning–Driven Single-Cell RNA-Seq Analysis for Cell Classification, Feature Discovery, and Functional Annotation in Glioblastoma</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:47:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/four-micrornas-as-prognostic-biomarkers-for-overall-survival-in-uterine-carcinosarcoma/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/four-micrornas-as-prognostic-biomarkers-for-overall-survival-in-uterine-carcinosarcoma/]]></link>
			<title>Four microRNAs as Prognostic Biomarkers for Overall Survival in Uterine Carcinosarcoma</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:44:27 +0000]]></pubDate>
		</item>
					<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-2/]]></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-2/]]></link>
			<title>Automated Quality Control in Textiles: A Computer Vision Blended Approach to Fabric Defect Detection</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:29:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-aware-ordinal-machine-learning-and-explainable-ai-framework-for-hidden-replication-label-ambiguity-and-performance-inflation-in-maternal-health-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-aware-ordinal-machine-learning-and-explainable-ai-framework-for-hidden-replication-label-ambiguity-and-performance-inflation-in-maternal-health-risk-prediction/]]></link>
			<title>A Leakage-Aware Ordinal Machine Learning and Explainable AI Framework for Hidden Replication, Label Ambiguity, and Performance Inflation in Maternal Health Risk Prediction</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:07:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leak-free-re-evaluation-of-augmented-alzheimers-mri-with-deep-neural-network-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leak-free-re-evaluation-of-augmented-alzheimers-mri-with-deep-neural-network-models/]]></link>
			<title>A leak free re-evaluation of augmented Alzheimers mri with deep neural network models</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 17:04:50 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spatial-image-steganalysis-using-fixed-srm-preprocessing-and-srnet/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spatial-image-steganalysis-using-fixed-srm-preprocessing-and-srnet/]]></link>
			<title>Spatial Image Steganalysis Using Fixed SRM Preprocessing and SRNet</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 16:47:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-based-comparative-analysis-of-rural-and-urban-educational-inequality-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-based-comparative-analysis-of-rural-and-urban-educational-inequality-in-bangladesh/]]></link>
			<title>A Machine Learning-Based Comparative Analysis of Rural and Urban Educational Inequality in Bangladesh</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 16:39:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explanation-faithfulness-under-intra-language-distribution-shift-in-low-resource-bangla-sentiment-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explanation-faithfulness-under-intra-language-distribution-shift-in-low-resource-bangla-sentiment-classification/]]></link>
			<title>Explanation Faithfulness under Intra-Language Distribution Shift in Low-Resource Bangla Sentiment Classification</title>
			<pubDate><![CDATA[Fri, 09 Oct 2026 15:57:25 +0000]]></pubDate>
		</item>
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