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			<title>NPS Australia Submission System</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-cardiovascular-disease-screening-via-uncertainty-guided-clinical-feature-acquisition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-cardiovascular-disease-screening-via-uncertainty-guided-clinical-feature-acquisition/]]></link>
			<title>Adaptive Cardiovascular Disease Screening via Uncertainty-Guided Clinical Feature Acquisition</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 20:57:58 +0000]]></pubDate>
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			<title>Vision-Language Representation Learning for Image Captioning with Attention-Based Interpretability</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 20:24:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/scanrig-edge-leakage-aware-browser-native-temporal-pose-recognition-for-real-time-home-exercise-coaching/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/scanrig-edge-leakage-aware-browser-native-temporal-pose-recognition-for-real-time-home-exercise-coaching/]]></link>
			<title>ScanRig-Edge: Leakage-Aware Browser-Native Temporal Pose Recognition for Real-Time Home Exercise Coaching</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 20:08:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/jepa-tta-test-time-adaptation-via-latent-prediction-for-domain-shifted-medical-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/jepa-tta-test-time-adaptation-via-latent-prediction-for-domain-shifted-medical-images/]]></link>
			<title>JEPA-TTA -Test-Time Adaptation via Latent Prediction for Domain-Shifted Medical Images</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 19:47:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/murnitin-an-explainable-adversarially-robust-and-privacy-preserving-academic-integrity-framework-for-the-llm-era/]]></guid>
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			<title>Murnitin: An Explainable, Adversarially Robust and Privacy-Preserving Academic Integrity Framework for the LLM Era</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 19:42:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-evaluation-of-tree-based-models-for-binary-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-evaluation-of-tree-based-models-for-binary-intrusion-detection/]]></link>
			<title>Leakage-Controlled Evaluation of Tree-Based Models for Binary Intrusion Detection</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 18:50:23 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-hierarchy-to-participation-how-leadership-shapes-budgetary-information-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-hierarchy-to-participation-how-leadership-shapes-budgetary-information-systems/]]></link>
			<title>From Hierarchy to Participation: How Leadership Shapes Budgetary Information Systems</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 18:10:30 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unsupervised-eeg-based-subgroup-discovery-in-alzheimers-disease-using-spectral-and-temporal-features-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unsupervised-eeg-based-subgroup-discovery-in-alzheimers-disease-using-spectral-and-temporal-features-2/]]></link>
			<title>Unsupervised EEG-Based Subgroup Discovery in Alzheimer’s Disease Using Spectral and Temporal Features</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:58:03 +0000]]></pubDate>
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			<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, 04 Sep 2026 17:48:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/stellar-emission-waves-radiation-prediction-from-the-measurement-of-brightness-hours-of-sun-in-some-bangladeshi-regions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/stellar-emission-waves-radiation-prediction-from-the-measurement-of-brightness-hours-of-sun-in-some-bangladeshi-regions/]]></link>
			<title>Solar Power Prediction in Coastal Zones of Bangladesh: A Hybrid Empirical-Machine Learning Approach for the Teknaf 20 MW Solar Power Plant</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:05:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/solar-power-prediction-in-coastal-zones-of-bangladesh-a-hybrid-empirical-machine-learning-approach-for-the-teknaf-20-mw-solar-power-plant/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/solar-power-prediction-in-coastal-zones-of-bangladesh-a-hybrid-empirical-machine-learning-approach-for-the-teknaf-20-mw-solar-power-plant/]]></link>
			<title>Solar Power Prediction in Coastal Zones of Bangladesh: A Hybrid Empirical-Machine Learning Approach for the Teknaf 20 MW Solar Power Plant</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:02:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segmentation-guided-attention-transfer-learning-for-breast-cancer-classification-in-digital-mammography/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segmentation-guided-attention-transfer-learning-for-breast-cancer-classification-in-digital-mammography/]]></link>
			<title>Segmentation-Guided Attention Transfer Learning for Breast Cancer Classification in Digital Mammography</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:49:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/uncovering-healthcare-concerns-among-bangladeshi-patients-seeking-medical-care-in-india-using-bertopic/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/uncovering-healthcare-concerns-among-bangladeshi-patients-seeking-medical-care-in-india-using-bertopic/]]></link>
			<title>Uncovering Healthcare Concerns Among Bangladeshi Patients Seeking Medical Care in India Using BERTopic</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:39:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spearxai-org-target-context-aware-benchmark-and-explainable-hybrid-reference-framework-for-llm-assisted-spear-phishing-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spearxai-org-target-context-aware-benchmark-and-explainable-hybrid-reference-framework-for-llm-assisted-spear-phishing-detection/]]></link>
			<title>SpearXAI-Org: Target-Context-Aware Benchmark and Explainable Hybrid Reference Framework for LLM-Assisted Spear-Phishing Detection</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:38:02 +0000]]></pubDate>
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			<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[Fri, 04 Sep 2026 16:37:38 +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[Fri, 04 Sep 2026 16:35:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-framework-for-cybercrime-topic-discovery-and-sentiment-analysis-in-bangladeshi-facebook-posts/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-framework-for-cybercrime-topic-discovery-and-sentiment-analysis-in-bangladeshi-facebook-posts/]]></link>
			<title>A Deep Learning Framework for Cybercrime Topic Discovery and Sentiment Analysis in Bangladeshi Facebook Posts</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:32:36 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-breast-cancer-detection-with-web-application/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-breast-cancer-detection-with-web-application/]]></link>
			<title>Deep Learning Based Breast Cancer Detection With Web Application</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:31:09 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-tomato-leaf-disease-classification-using-attention-guided-cnn-and-gcn-feature-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-tomato-leaf-disease-classification-using-attention-guided-cnn-and-gcn-feature-fusion/]]></link>
			<title>Leakage-Controlled Tomato Leaf Disease Classification Using Attention-Guided CNN and GCN Feature Fusion</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:24:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroneuro-guardian-an-integrated-iot-tinyml-framework-for-autonomous-irrigation-control-and-flood-prevention-in-precision-agriculture-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroneuro-guardian-an-integrated-iot-tinyml-framework-for-autonomous-irrigation-control-and-flood-prevention-in-precision-agriculture-3/]]></link>
			<title>AgroNeuro Guardian An Integrated IoT-TinyML Framework for Autonomous Irrigation Control and Flood Prevention in Precision Agriculture</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:13:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/embedded-fail-safe-and-real-time-communication-framework-for-http-based-wireless-mobile-robot-teleoperation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/embedded-fail-safe-and-real-time-communication-framework-for-http-based-wireless-mobile-robot-teleoperation/]]></link>
			<title>Embedded Fail-Safe and Real-Time Communication Framework for HTTP-Based Wireless Mobile Robot Teleoperation</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:07:35 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-software-project-risk-prediction-engine-using-machine-learning-and-web-based-decision-support-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-software-project-risk-prediction-engine-using-machine-learning-and-web-based-decision-support-systems/]]></link>
			<title>An Intelligent Software Project Risk Prediction Engine Using Machine Learning and Web-Based  Decision Support Systems</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 15:58:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/metatrojan-backdoor-attacks-on-metadata-conditioned-medical-diffusion-reconstructors/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/metatrojan-backdoor-attacks-on-metadata-conditioned-medical-diffusion-reconstructors/]]></link>
			<title>MetaTrojan: Backdoor Attacks on Metadata-Conditioned Medical Diffusion Reconstructors</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 15:48:21 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/architecture-of-a-resilient-root-level-iot-communication-infrastructure-for-multi-hazard-natural-disasters-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/architecture-of-a-resilient-root-level-iot-communication-infrastructure-for-multi-hazard-natural-disasters-in-bangladesh/]]></link>
			<title>Architecture of a Resilient Root-Level IoT Communication Infrastructure for Multi-Hazard Natural Disasters in Bangladesh</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 15:47:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seednet-a-lightweight-fine-tuned-deep-learning-framework-for-plant-seedling-classification-in-precision-agriculture/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seednet-a-lightweight-fine-tuned-deep-learning-framework-for-plant-seedling-classification-in-precision-agriculture/]]></link>
			<title>SeedNet: A Lightweight Fine-Tuned Deep Learning Framework for Plant Seedling Classification in Precision Agriculture</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 15:11:23 +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>An Explainable Deep Learning Approach for Multi Class Lung Disease Classification from Chest X Rays with Fused GradCAM++ Localization</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:57:25 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-approach-for-dialect-neutralization-in-bengali-academic-writing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-approach-for-dialect-neutralization-in-bengali-academic-writing/]]></link>
			<title>A Deep Learning Approach for Dialect Neutralization in Bengali Academic Writing</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:55:44 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-gleason-grading-of-prostate-cancer-detection-from-histopathology-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-gleason-grading-of-prostate-cancer-detection-from-histopathology-images/]]></link>
			<title>Deep Learning-Based Gleason Grading of Prostate Cancer detection from Histopathology Images</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:50:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-reconstruction-fidelity-task-oriented-evaluation-of-compact-rgb-derived-spectral-representations-for-fruit-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-reconstruction-fidelity-task-oriented-evaluation-of-compact-rgb-derived-spectral-representations-for-fruit-classification/]]></link>
			<title>Beyond Reconstruction Fidelity: Task-Oriented Evaluation of Compact RGB-Derived Spectral Representations for Fruit Classification</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:34:21 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/anchor-preserving-coarse-to-fine-hyperspectral-reconstruction-from-mobile-rgb-nir-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/anchor-preserving-coarse-to-fine-hyperspectral-reconstruction-from-mobile-rgb-nir-images-2/]]></link>
			<title>Anchor-Preserving Coarse-to-Fine Hyperspectral Reconstruction from Mobile RGB–NIR Images</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:21:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/anchor-preserving-coarse-to-fine-hyperspectral-reconstruction-from-mobile-rgb-nir-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/anchor-preserving-coarse-to-fine-hyperspectral-reconstruction-from-mobile-rgb-nir-images/]]></link>
			<title>Anchor-Preserving Coarse-to-Fine Hyperspectral Reconstruction from Mobile RGB–NIR Images</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:08:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/constraint-aware-solar-mppt-evaluation-using-a-feasible-power-reference-and-pack-terminal-energy/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/constraint-aware-solar-mppt-evaluation-using-a-feasible-power-reference-and-pack-terminal-energy/]]></link>
			<title>Constraint-Aware Solar MPPT Evaluation Using a Feasible-Power Reference and Pack-Terminal Energy</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 14:01:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-surrogate-framework-for-designing-and-optimizing-the-char-nizam-off-grid-hybrid-power-system-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-surrogate-framework-for-designing-and-optimizing-the-char-nizam-off-grid-hybrid-power-system-in-bangladesh/]]></link>
			<title>A Machine-Learning Surrogate Framework for Designing and Optimizing the Char Nizam Off-Grid Hybrid Power System in Bangladesh</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 13:54:35 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-risk-detection-in-blockchain-smart-contracts-using-natural-language-processing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-risk-detection-in-blockchain-smart-contracts-using-natural-language-processing/]]></link>
			<title>Explainable Risk Detection in Blockchain Smart Contracts Using Natural Language Processing</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 13:38:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-fabric-defect-classification-using-deep-learning-with-grad-cam-explainability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-fabric-defect-classification-using-deep-learning-with-grad-cam-explainability/]]></link>
			<title>Robust Fabric Defect Classification Using Deep Learning with Grad-CAM Explainability</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 13:27:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-for-literacy-rate-prediction-in-bangladesh-leveraging-engineered-socio-economic-features-and-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-for-literacy-rate-prediction-in-bangladesh-leveraging-engineered-socio-economic-features-and-explainable-ai/]]></link>
			<title>Machine Learning for Literacy Rate Prediction in Bangladesh: Leveraging Engineered Socio-Economic Features and Explainable AI</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 12:10:29 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-blind-spots-in-iec-60870-5-104-intrusion-detection-beyond-attack-only-metrics/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-blind-spots-in-iec-60870-5-104-intrusion-detection-beyond-attack-only-metrics/]]></link>
			<title>Evaluation Blind Spots in IEC 60870-5-104 Intrusion Detection: Beyond Attack-Only Metrics</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 12:03:13 +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>NORA: A Multimodal Edge-AI Framework for Offline Context-Aware Intelligent Assistance</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 10:07:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dart-an-analytical-failure-attribution-study-for-multimodal-edge-assistants/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dart-an-analytical-failure-attribution-study-for-multimodal-edge-assistants/]]></link>
			<title>DART: An Analytical Failure-Attribution Study for Multimodal Edge Assistants</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 10:05:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seeing-beyond-the-fake-detecting-deepfakes-using-deep-learning-based-computer-vision/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seeing-beyond-the-fake-detecting-deepfakes-using-deep-learning-based-computer-vision/]]></link>
			<title>Seeing Beyond the Fake: Detecting Deepfakes Using Deep Learning-Based Computer Vision</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 09:51:16 +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[Fri, 04 Sep 2026 09:50:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-image-level-random-splits-a-leakage-aware-reliability-assessment-for-lightweight-jackfruit-leaf-health-state-recognition/]]></guid>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 09:02:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-3d-swin-transformer-for-tumor-mass-presence-classification-and-quantitative-localization-in-pancreatic-ct-a-comparative-study/]]></guid>
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			<title>Explainable 3D Swin Transformer for Tumor Mass Presence Classification and Quantitative Localization in Pancreatic CT: A Comparative Study</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 07:23:29 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/kolmogorov-arnold-network-for-multiple-disease-classification-interpretability-and-faithfulness-evaluation/]]></guid>
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			<title>Kolmogorov Arnold Network for Multiple Disease Classification: Interpretability and Faithfulness Evaluation</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 07:18:13 +0000]]></pubDate>
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			<title>Test</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 06:59:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-android-assisted-accurate-transfer-learning-framework-for-alzheimers-disease-diagnosis/]]></guid>
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			<title>An Android-Assisted Accurate Transfer Learning Framework for Alzheimer’s Disease Diagnosis</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 06:22:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-acoustic-dataset-for-deep-learning-based-non-destructive-testing-ndt-of-brick-quality-via-mel-spectrogram-analysis/]]></guid>
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			<title>An Acoustic Dataset for Deep Learning-Based Non-Destructive Testing (NDT) of Brick Quality via Mel-Spectrogram Analysis</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 03:38:42 +0000]]></pubDate>
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			<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>
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			<title>Multivariate Modeling of Employee Retention Using Reward, Work-Life Balance, and Work Environment Factors in Malaysia’s Industrial Equipment Sector</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 02:00:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/road-surface-defects-and-utilities-detection-using-yolo26-with-explainable-ai/]]></guid>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 00:22:53 +0000]]></pubDate>
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