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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/explainable-deep-learning-based-breast-cancer-classification-using-histopathological-images-a-comparative-study-of-cnn-and-vision-transformer-architectures/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-deep-learning-based-breast-cancer-classification-using-histopathological-images-a-comparative-study-of-cnn-and-vision-transformer-architectures/]]></link>
			<title>Explainable Deep Learning-Based Breast Cancer Classification Using Histopathological Images: A Comparative Study of CNN and Vision Transformer Architectures</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:25:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/swinmlp-xai-an-explainable-swin-transformer-based-framework-for-automated-detection-of-tuberculosis-in-chest-radiographs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/swinmlp-xai-an-explainable-swin-transformer-based-framework-for-automated-detection-of-tuberculosis-in-chest-radiographs/]]></link>
			<title>SwinMLP-XAI: An Explainable Swin Transformer-Based Framework for Automated Detection of Tuberculosis in Chest Radiographs</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:24:54 +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[Wed, 30 Sep 2026 17:21:38 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/quantifying-social-bias-in-llms-for-bangla-a-likelihood-based-comparative-analysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/quantifying-social-bias-in-llms-for-bangla-a-likelihood-based-comparative-analysis/]]></link>
			<title>Quantifying Social Bias in LLMs for Bangla: A Likelihood-Based Comparative Analysis</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:19:46 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/brain-tumor-mri-classification-using-hybrid-model/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/brain-tumor-mri-classification-using-hybrid-model/]]></link>
			<title>Brain Tumor MRI Classification Using Hybrid Model</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:18:47 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segswin-net-a-segmentation-guided-vision-transformer-for-improved-leukemia-detection-and-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segswin-net-a-segmentation-guided-vision-transformer-for-improved-leukemia-detection-and-classification/]]></link>
			<title>SegSwin-Net: A Segmentation-Guided Vision Transformer for Improved Leukemia Detection and Classification</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:15:21 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/post-training-int8-quantization-of-mobilenetv3-for-efficient-chest-x-ray-classification-on-edge-devices-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/post-training-int8-quantization-of-mobilenetv3-for-efficient-chest-x-ray-classification-on-edge-devices-2/]]></link>
			<title>Post-Training INT8 Quantization of MobileNetV3 for Efficient Chest X-Ray Classification on Edge Devices</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:12:39 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-soh-a-composite-degradation-index-with-uncertainty-aware-soc-estimation-for-ev-batteries/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-soh-a-composite-degradation-index-with-uncertainty-aware-soc-estimation-for-ev-batteries/]]></link>
			<title>Beyond SOH: A Composite Degradation Index with Uncertainty-Aware SOC Estimation for EV Batteries</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:09:16 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-technostress-drains-and-autonomy-protects-how-organizational-support-sustains-employee-well-being-in-hybrid-work-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-technostress-drains-and-autonomy-protects-how-organizational-support-sustains-employee-well-being-in-hybrid-work-2/]]></link>
			<title>When Technostress Drains and Autonomy Protects: How Organizational Support Sustains Employee Well-Being in Hybrid Work</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:06:33 +0000]]></pubDate>
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					<item>
			<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[Wed, 30 Sep 2026 17:05:15 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-robust-integrity-verification-and-recovery-framework-for-coarse-to-fine-text-semantic-communication-against-model-tampering-attacks-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-robust-integrity-verification-and-recovery-framework-for-coarse-to-fine-text-semantic-communication-against-model-tampering-attacks-2/]]></link>
			<title>A Robust Integrity Verification and Recovery Framework for Coarse-to-Fine Text Semantic Communication Against Model Tampering Attacks</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 17:02:33 +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[Wed, 30 Sep 2026 17:01:50 +0000]]></pubDate>
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					<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[Wed, 30 Sep 2026 16:55:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multilabel-emotion-recognition-using-a-label-query-dynamic-dependency-network/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multilabel-emotion-recognition-using-a-label-query-dynamic-dependency-network/]]></link>
			<title>Multilabel Emotion Recognition Using a Label-Query Dynamic Dependency Network</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:49:14 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-repvgg-style-regional-token-transformer-for-grape-leaf-disease-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-repvgg-style-regional-token-transformer-for-grape-leaf-disease-classification/]]></link>
			<title>A RepVGG-Style Regional Token Transformer for Grape Leaf Disease Classification</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:34:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cybermirror-recovering-interpretable-attacker-reward-functions-from-deep-rl-pentesting-agents-via-inverse-reinforcement-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cybermirror-recovering-interpretable-attacker-reward-functions-from-deep-rl-pentesting-agents-via-inverse-reinforcement-learning/]]></link>
			<title>CyberMirror: Recovering Interpretable Attacker Reward Functions from Deep-RL Pentesting Agents via Inverse Reinforcement Learning</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:21:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-structural-analysis-of-zero-day-attack-detection-machine-learning-paradigms-performance-trends-and-open-research-challenges/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-structural-analysis-of-zero-day-attack-detection-machine-learning-paradigms-performance-trends-and-open-research-challenges/]]></link>
			<title>A Comprehensive Structural Analysis of Zero-Day Attack Detection: Machine Learning Paradigms, Performance Trends, and Open Research Challenges</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:09:02 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/academic-citation-and-trend-forecaster-a-simple-graph-neural-network-approach-for-venue-prediction-and-collaboration-forecasting/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/academic-citation-and-trend-forecaster-a-simple-graph-neural-network-approach-for-venue-prediction-and-collaboration-forecasting/]]></link>
			<title>Academic Citation and Trend Forecaster: A Simple Graph Neural Network Approach for Venue Prediction and Collaboration Forecasting</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:04:26 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/decentralized-mobile-diagnostic-framework-for-dengue-utilizing-heterogeneous-federated-transfer-learning-and-edge-transpilation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/decentralized-mobile-diagnostic-framework-for-dengue-utilizing-heterogeneous-federated-transfer-learning-and-edge-transpilation/]]></link>
			<title>Decentralizing Dengue Diagnostics: Federated Knowledge Distillation Across Heterogeneous Modalities via Edge Transpilation</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:02:51 +0000]]></pubDate>
		</item>
					<item>
			<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 Based</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 16:02:48 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-privacy-preserving-federated-brain-tumor-mri-classification-a-hybrid-cnn-transformer-framework-and-preliminary-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-privacy-preserving-federated-brain-tumor-mri-classification-a-hybrid-cnn-transformer-framework-and-preliminary-evaluation/]]></link>
			<title>Toward Privacy-Preserving Federated Brain Tumor MRI Classification: A Hybrid CNN &#8211; Transformer Framework and Preliminary Evaluation</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 15:43:28 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-protocol-for-private-face-recognition-using-post-quantum-secure-encryption/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-protocol-for-private-face-recognition-using-post-quantum-secure-encryption/]]></link>
			<title>An Efficient Protocol for Private Face Recognition Using Post-Quantum Secure Encryption</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 15:27:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-network-intrusion-detection-using-random-forest-and-lightweight-rest-api-deployment/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-network-intrusion-detection-using-random-forest-and-lightweight-rest-api-deployment/]]></link>
			<title>Efficient Network Intrusion Detection Using Random Forest and Lightweight REST API Deployment</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 15:26:03 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rethinking-noise-shaping-in-differentially-private-federated-lora-why-isotropic-perturbation-wins-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rethinking-noise-shaping-in-differentially-private-federated-lora-why-isotropic-perturbation-wins-2/]]></link>
			<title>Rethinking Noise Shaping in Differentially Private Federated LoRA: Why Isotropic Perturbation Wins.</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 15:19:14 +0000]]></pubDate>
		</item>
					<item>
			<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[Wed, 30 Sep 2026 15:16:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/runoff-forecasting-and-flood-risk-classification-in-sunamganj-a-comparative-analysis-of-statistical-machine-learning-and-deep-learning-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/runoff-forecasting-and-flood-risk-classification-in-sunamganj-a-comparative-analysis-of-statistical-machine-learning-and-deep-learning-models/]]></link>
			<title>Runoff Forecasting and Flood Risk Classification in Sunamganj: A Comparative Analysis of Statistical, Machine Learning, and Deep Learning Models</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 15:07:17 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/trace-bn-transferring-bangla-english-tutoring-behavior-to-a-sub-1b-offline-language-model/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/trace-bn-transferring-bangla-english-tutoring-behavior-to-a-sub-1b-offline-language-model/]]></link>
			<title>TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:59:57 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/self-supervised-contrastive-learning-with-attention-refinement-for-chest-x-ray-disease-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/self-supervised-contrastive-learning-with-attention-refinement-for-chest-x-ray-disease-classification/]]></link>
			<title>Self-Supervised Contrastive Learning with Attention Refinement for Chest X-Ray Disease Classification</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:59:05 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-phase-wise-machine-learning-based-performance-evaluation-in-flight-simulation-training/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-phase-wise-machine-learning-based-performance-evaluation-in-flight-simulation-training/]]></link>
			<title>A Phase-Wise Machine Learning-based  Performance Evaluation in Flight Simulation  Training</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:45:17 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/perspectra-a-layered-provenance-preserving-framework-for-multi-source-news-event-synthesis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/perspectra-a-layered-provenance-preserving-framework-for-multi-source-news-event-synthesis/]]></link>
			<title>Perspectra: A Layered, Provenance-Preserving Framework for Multi-Source News Event Synthesis</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:43:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficientnetv2s-with-end-ensemble-for-robust-bangla-handwritten-character-recognition-4/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficientnetv2s-with-end-ensemble-for-robust-bangla-handwritten-character-recognition-4/]]></link>
			<title>EfficientNetV2S with End Ensemble for Robust Bangla Handwritten Character Recognition</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:42:11 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-ai-based-legal-advisory-system-for-traffic-violation-verification-using-official-traffic-regulations/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-ai-based-legal-advisory-system-for-traffic-violation-verification-using-official-traffic-regulations/]]></link>
			<title>An AI-Based Legal Advisory System for Traffic Violation Verification Using Official Traffic Regulations</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:29:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-energy-management-in-bangladesh-a-comparative-study-with-neighboring-countries/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-energy-management-in-bangladesh-a-comparative-study-with-neighboring-countries/]]></link>
			<title>Sustainable Energy Management in Bangladesh: A Comparative Study with Neighboring Countries</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:24:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/merit-order-economics-of-free-governor-mode-operation-a-business-analysis-framework-for-heat-rate-based-dispatch-priority-and-frequency-regulation-value-in-the-bangladesh-national-grid/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/merit-order-economics-of-free-governor-mode-operation-a-business-analysis-framework-for-heat-rate-based-dispatch-priority-and-frequency-regulation-value-in-the-bangladesh-national-grid/]]></link>
			<title>Merit-Order Economics of Free Governor Mode Operation: A Business-Analysis Framework for Heat-Rate-Based Dispatch Priority and Frequency-Regulation Value in the Bangladesh National Grid</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:21:41 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/air-quality-forecasting-for-dhaka-data-integrity-over-model-complexity/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/air-quality-forecasting-for-dhaka-data-integrity-over-model-complexity/]]></link>
			<title>Air Quality Forecasting for Dhaka: Data Integrity over Model Complexity</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:19:17 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/two-public-ckd-benchmarks-are-not-independent-a-reproducible-audit-of-leakage-cohort-separability-and-pseudo-external-validatio/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/two-public-ckd-benchmarks-are-not-independent-a-reproducible-audit-of-leakage-cohort-separability-and-pseudo-external-validatio/]]></link>
			<title>Two Public CKD Benchmarks Are Not Independent: A Reproducible Audit of Leakage, Cohort Separability, and Pseudo-External Validatio</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 14:16:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/neurocrypt-a-privacy-preserving-federated-learning-framework-for-secure-brain-computer-interface-data-sharing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/neurocrypt-a-privacy-preserving-federated-learning-framework-for-secure-brain-computer-interface-data-sharing/]]></link>
			<title>NeuroCrypt: A Privacy-Preserving Federated Learning Framework for Secure Brain–Computer Interface Data Sharing</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:53:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/android-mobile-malware-detection-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/android-mobile-malware-detection-using-machine-learning/]]></link>
			<title>Android Mobile Malware Detection Using Machine Learning</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:43:54 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pose-based-ekf-slam-using-ndt-scan-matching-and-loop-closure-for-indoor-robot-navigation-2/]]></guid>
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			<title>Pose-Based EKF-SLAM Using NDT Scan Matching and Loop Closure for Indoor Robot Navigation</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:25:33 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/influence-of-color-space-on-gan-based-image-colorization-with-a-grayscale-to-color-network-2/]]></guid>
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			<title>Influence of Color Space on GAN-Based Image Colorization with a Grayscale to Color Network</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:24:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/integrated-solar-tracking-and-active-water-cooling-for-enhanced-photovoltaic-performance-experimental-validation-and-pvsyst-based-techno-economic-assessment-2/]]></guid>
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			<title>Integrated Solar Tracking and Active Water Cooling for Enhanced Photovoltaic Performance: Experimental Validation and PVsyst-Based Techno-Economic Assessment</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:08:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/traffic-demand-regulation-by-an-intelligent-management-system-in-dhaka-city/]]></guid>
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			<title>Traffic Demand Regulation by an Intelligent Management System: A Case Study in Dhaka</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:05:22 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/privacy-preserving-single-lead-smartwatch-ecg-monitoring-for-multi-class-arrhythmia-detection-2/]]></guid>
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			<title>Privacy-Preserving Single-Lead Smartwatch ECG Monitoring for Multi-Class Arrhythmia Detection</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 13:05:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-analysis-of-hydrogen-storage-based-solar-power-systems-for-off-grid-industrial/]]></guid>
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			<pubDate><![CDATA[Wed, 30 Sep 2026 13:04:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-wound-segmentation-using-lightweight-u-net-with-adaptive-skip-fusion-and-wound-specific-attention-mechanisms/]]></guid>
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			<title>Efficient Wound Segmentation Using Lightweight U-Net with Adaptive Skip Fusion and Wound-Specific Attention Mechanisms</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 12:34:41 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/medilink-design-and-validation-of-a-portable-iot-system-for-physiological-monitoring/]]></guid>
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			<pubDate><![CDATA[Wed, 30 Sep 2026 12:25:00 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-fusion-model-for-efficient-skin-cancer-classification/]]></guid>
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			<pubDate><![CDATA[Wed, 30 Sep 2026 12:17:25 +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[Wed, 30 Sep 2026 08:58:36 +0000]]></pubDate>
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