<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on October 12, 2026 at 5:25 am by All in One SEO v5.0.2 - the original SEO plugin for WordPress. -->

<?xml-stylesheet type="text/xsl" href="https://nps-ss.com.au/default-sitemap.xsl"?>

<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
	<channel>
		<title>NPS Australia Submission System</title>
		<link><![CDATA[https://nps-ss.com.au]]></link>
		<description><![CDATA[NPS Australia Submission System]]></description>
		<lastBuildDate><![CDATA[Sun, 11 Oct 2026 22:14:50 +0000]]></lastBuildDate>
		<docs>https://validator.w3.org/feed/docs/rss2.html</docs>
		<atom:link href="https://nps-ss.com.au/sitemap.rss" rel="self" type="application/rss+xml" />
		<ttl><![CDATA[60]]></ttl>

		<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-benchmark-of-recurrent-convolutional-and-attention-based-models-for-radar-emitter-classification-under-photon-starved-conditions-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-benchmark-of-recurrent-convolutional-and-attention-based-models-for-radar-emitter-classification-under-photon-starved-conditions-2/]]></link>
			<title>A Comprehensive Benchmark of Recurrent, Convolutional, and Attention-Based Models for Radar Emitter Classification Under Photon-Starved Conditions</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 22:14:50 +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[Sun, 11 Oct 2026 18:31:27 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-study-of-classical-machine-learning-and-deep-learning-in-subject-independent-bci-using-adaptive-snr-weighted-dwt-artifact-elimination/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comprehensive-study-of-classical-machine-learning-and-deep-learning-in-subject-independent-bci-using-adaptive-snr-weighted-dwt-artifact-elimination/]]></link>
			<title>A Comprehensive Study of Classical Machine Learning and Deep Learning in Subject-Independent BCI Using Adaptive SNR-Weighted DWT Artifact Elimination</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 17:41:51 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-graph-based-framework-with-patient-similarity-clustering-imbalance-aware-learning-and-multi-level-explainability-for-reliable-stroke-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-graph-based-framework-with-patient-similarity-clustering-imbalance-aware-learning-and-multi-level-explainability-for-reliable-stroke-risk-prediction/]]></link>
			<title>A Graph-Based Framework with Patient Similarity Clustering, Imbalance-Aware Learning, and Multi-Level Explainability for Reliable Stroke-Risk Prediction</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 17:32:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-trustworthy-stroke-risk-prediction-a-balanced-explainable-and-externally-validated-machine-learning-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-trustworthy-stroke-risk-prediction-a-balanced-explainable-and-externally-validated-machine-learning-framework/]]></link>
			<title>Toward Trustworthy Stroke Risk Prediction: A Balanced, Explainable and Externally Validated Machine Learning Framework</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 17:29:24 +0000]]></pubDate>
		</item>
					<item>
			<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, 11 Oct 2026 17:17:23 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-android-assisted-accurate-transfer-learning-framework-for-alzheimers-disease-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-android-assisted-accurate-transfer-learning-framework-for-alzheimers-disease-diagnosis/]]></link>
			<title>An Android-Assisted Accurate Transfer Learning Framework for Alzheimer’s Disease Diagnosis</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 16:45:04 +0000]]></pubDate>
		</item>
					<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, 11 Oct 2026 16:16:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-approach-to-screening-for-child-undernutrition-in-rural-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-approach-to-screening-for-child-undernutrition-in-rural-bangladesh-2/]]></link>
			<title>A Machine Learning Approach to Screening for Child Undernutrition in Rural Bangladesh</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 15:49:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-forecast-guided-battery-energy-management-strategy-for-peak-load-shaving-in-renewable-community-microgrids/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-forecast-guided-battery-energy-management-strategy-for-peak-load-shaving-in-renewable-community-microgrids/]]></link>
			<title>A Forecast-Guided Battery Energy Management Strategy for Peak Load Shaving in Renewable Community Microgrids</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 15:17:36 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/provable-moving-target-defense-for-cyber-physical-networks-from-the-security-performance-frontier-to-no-regret-defense/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/provable-moving-target-defense-for-cyber-physical-networks-from-the-security-performance-frontier-to-no-regret-defense/]]></link>
			<title>Provable Moving-Target Defense for Cyber-Physical Networks: From the Security–Performance Frontier to No-Regret Defense</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 14:49:02 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conflict-aware-trust-based-aggregation-for-poisoning-resistant-federated-medical-image-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conflict-aware-trust-based-aggregation-for-poisoning-resistant-federated-medical-image-classification/]]></link>
			<title>Conflict Aware Trust-Based Aggregation for Poisoning Resistant Federated Medical Image Classification</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 14:37:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/novel-attacks-arrive-diffuse-rethinking-few-shot-open-set-enrollment-for-ros-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/novel-attacks-arrive-diffuse-rethinking-few-shot-open-set-enrollment-for-ros-intrusion-detection/]]></link>
			<title>Novel Attacks Arrive Diffuse: Rethinking Few-Shot Open-Set Enrollment for ROS Intrusion Detection</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 14:30:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/heart-disease-prediction-using-ecg-image-analysis-with-grad-cam-explainability-visualization/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/heart-disease-prediction-using-ecg-image-analysis-with-grad-cam-explainability-visualization/]]></link>
			<title>Heart Disease Prediction using ECG Image Analysis with Grad-CAM Explainability Visualization</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 13:27:28 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/latent-space-counterfactual-explanations-for-cervical-cytology-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/latent-space-counterfactual-explanations-for-cervical-cytology-classification/]]></link>
			<title>Latent-Space Counterfactual Explanations for Cervical Cytology Classification</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 12:39:52 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/immersive-virtual-reality-for-computer-hardware-education-a-pilot-usability-and-workload-study-with-information-technology-students-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/immersive-virtual-reality-for-computer-hardware-education-a-pilot-usability-and-workload-study-with-information-technology-students-2/]]></link>
			<title>Immersive Virtual Reality for Computer Hardware Education: A Pilot Usability and Workload Study with Information Technology Students</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 12:24:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-efficientnetb0-based-framework-for-multi-class-retinal-disease-classification-using-fundus-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-efficientnetb0-based-framework-for-multi-class-retinal-disease-classification-using-fundus-images-2/]]></link>
			<title>An Explainable EfficientNetB0-Based Framework for Multi-Class Retinal Disease Classification Using Fundus Images</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 08:09:14 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/technical-assessment-of-electric-three-wheeler-growth-solar-based-charging-and-grid-impacts/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/technical-assessment-of-electric-three-wheeler-growth-solar-based-charging-and-grid-impacts/]]></link>
			<title>Technical Assessment of Electric Three-Wheeler Growth, Solar-based Charging and Grid Impacts</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 04:34:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-brain-tumor-mri-classification-using-efficientnet-based-hybrid-attention-network/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-brain-tumor-mri-classification-using-efficientnet-based-hybrid-attention-network/]]></link>
			<title>Multi-Class Brain Tumor MRI Classification Using EfficientNet Based Hybrid Attention Network</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 03:21:45 +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[Sun, 11 Oct 2026 02:52:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-diversity-preserving-hybrid-initialization-genetic-algorithm-for-cuda-accelerated-set-union-knapsack-optimization/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-diversity-preserving-hybrid-initialization-genetic-algorithm-for-cuda-accelerated-set-union-knapsack-optimization/]]></link>
			<title>CUDA-Based Genetic Algorithm for Set Union Knapsack Optimization with Hybrid Initialization</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 02:43:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-and-explainability-of-modern-deep-learning-models-for-brain-tumor-mri-segmentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-and-explainability-of-modern-deep-learning-models-for-brain-tumor-mri-segmentation/]]></link>
			<title>Performance and Explainability of Modern Deep Learning Models for Brain Tumor MRI Segmentation</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 02:29:46 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/three-layer-forensic-fingerprinting-for-insider-leak-attribution-robust-tracing-tamper-localization-and-content-binding/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/three-layer-forensic-fingerprinting-for-insider-leak-attribution-robust-tracing-tamper-localization-and-content-binding/]]></link>
			<title>Three-Layer Forensic Fingerprinting for Insider Leak Attribution: Robust Tracing, Tamper Localization, and Content Binding</title>
			<pubDate><![CDATA[Sun, 11 Oct 2026 01:47:06 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crop-yield-prediction-using-explainable-machine-learning-on-multi-state-agricultural-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crop-yield-prediction-using-explainable-machine-learning-on-multi-state-agricultural-data/]]></link>
			<title>Crop Yield Prediction Using Explainable Machine Learning on Multi-State Agricultural Data</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 20:37:24 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 10 Oct 2026 19:25:54 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sine-cosine-algorithm-based-proportional-integral-controller-for-low-voltage-ride-through-enhancement-in-grid-connected-photovoltaic-systems-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sine-cosine-algorithm-based-proportional-integral-controller-for-low-voltage-ride-through-enhancement-in-grid-connected-photovoltaic-systems-2/]]></link>
			<title>Sine Cosine Algorithm-Based Proportional-Integral Controller for Low Voltage Ride Through Enhancement in Grid-Connected Photovoltaic Systems</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 19:13:05 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-deep-learning-for-tuberculosis-detection-in-resource-constrained-settings/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-deep-learning-for-tuberculosis-detection-in-resource-constrained-settings/]]></link>
			<title>Explainable Hybrid Deep Learning for Tuberculosis Detection in Resource-Constrained Settings</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 19:12:39 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-energy-consumption-and-sustainable-wealth-in-developing-countries-the-moderating-role-of-government-effectiveness/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/renewable-energy-consumption-and-sustainable-wealth-in-developing-countries-the-moderating-role-of-government-effectiveness/]]></link>
			<title>Renewable Energy Consumption and Sustainable Wealth in Developing Countries: The Moderating Role of Government Effectiveness</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 18:52:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-backbone-graph-fusion-framework-for-38-class-plant-disease-classification-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-backbone-graph-fusion-framework-for-38-class-plant-disease-classification-2/]]></link>
			<title>A Multi-Backbone Graph Fusion Framework for 38-Class Plant Disease Classification</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 18:44:51 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-approach-to-beetle-damage-detection-of-banana-using-deep-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-approach-to-beetle-damage-detection-of-banana-using-deep-learning/]]></link>
			<title>An Efficient Approach to Beetle Damage Detection of Banana Using Deep Learning</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 18:42:35 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 10 Oct 2026 18:25:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-bandwidth-and-isolation-challenges-in-thz-mimo-a-dual-band-bow-tie-antenna-for-biomedical-pharmaceutical-and-security-applications-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-bandwidth-and-isolation-challenges-in-thz-mimo-a-dual-band-bow-tie-antenna-for-biomedical-pharmaceutical-and-security-applications-2/]]></link>
			<title>Addressing Bandwidth and Isolation Challenges in THz MIMO: A Dual-Band Bow-Tie Antenna for Biomedical, Pharmaceutical, and Security Applications</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 18:15:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/remote-sensing-imagery-for-crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/remote-sensing-imagery-for-crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></link>
			<title>Remote Sensing Imagery for Crop Yield Prediction Using Confidence-Weighted Ensemble Model with Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:59:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/firm-specific-determinants-of-environmental-information-disclosure-evidence-from-dse-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/firm-specific-determinants-of-environmental-information-disclosure-evidence-from-dse-2/]]></link>
			<title>Firm-Specific Determinants of Environmental Information Disclosure: Evidence from DSE</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:58:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/road-surface-defects-and-utilities-detection-using-yolo26-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/road-surface-defects-and-utilities-detection-using-yolo26-with-explainable-ai/]]></link>
			<title>Road Surface Defects and Utilities Detection using YOLO26 with Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:57:43 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></link>
			<title>Solar Power Prediction using Meta-Residual Booster with Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:57:40 +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[Sat, 10 Oct 2026 17:57:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calforget-calibration-driven-selective-forgetting-via-conformal-influence-attribution/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calforget-calibration-driven-selective-forgetting-via-conformal-influence-attribution/]]></link>
			<title>CalForget: Calibration-Driven Selective Forgetting via Conformal Influence Attribution</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:56:40 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conformal-influence-driven-realignment-cidr-a-framework-for-restoring-model-reliability-under-distribution-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conformal-influence-driven-realignment-cidr-a-framework-for-restoring-model-reliability-under-distribution-shift/]]></link>
			<title>Conformal Influence-Driven Realignment (CIDR): A Framework for Restoring Model Reliability under Distribution Shift</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:54:51 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-extraction-with-principal-component-analysis-for-congenital-heart-disease-classification-from-chest-radiographs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-extraction-with-principal-component-analysis-for-congenital-heart-disease-classification-from-chest-radiographs/]]></link>
			<title>Deep Feature Extraction with Principal Component Analysis for Congenital Heart Disease Classification from Chest Radiographs</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:51:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/harmful-effects-of-toxic-textile-wastewater-in-bangladesh-a-review-assessment-on-sustainability-environmental-and-real-cost-implications/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/harmful-effects-of-toxic-textile-wastewater-in-bangladesh-a-review-assessment-on-sustainability-environmental-and-real-cost-implications/]]></link>
			<title>Harmful Effects of Toxic Textile Wastewater in Bangladesh: A Review Assessment on Sustainability, Environmental, and Real Cost Implications</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:45:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-filtering-techniques-for-signal-enhancement-in-modern-communication-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-filtering-techniques-for-signal-enhancement-in-modern-communication-systems/]]></link>
			<title>Adaptive Filtering Techniques for Signal Enhancement in Modern Communication Systems</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:43:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-generational-transportability-of-cognitive-risk-models-a-shap-based-analysis-from-aging-adults-to-university-students/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-generational-transportability-of-cognitive-risk-models-a-shap-based-analysis-from-aging-adults-to-university-students/]]></link>
			<title>Cross-Generational Transportability of Cognitive Risk Models: A SHAP-Based Analysis from Aging Adults to University Students</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:36:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thetrestageai-multi-view-retrieval-augmented-generation-for-structured-bengali-theatre-production-planning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thetrestageai-multi-view-retrieval-augmented-generation-for-structured-bengali-theatre-production-planning/]]></link>
			<title>ThetreStageAI: Multi-View Retrieval-Augmented Generation for Structured Bengali Theatre Production Planning</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:29:56 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-synchronization-aware-deep-reinforcement-learning-framework-for-qoe-optimized-mulsemedia-streaming/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-synchronization-aware-deep-reinforcement-learning-framework-for-qoe-optimized-mulsemedia-streaming/]]></link>
			<title>A Synchronization-Aware Deep Reinforcement Learning Framework for QoE-Optimized Mulsemedia Streaming</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:24:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thyronet-xai-an-explainable-multimodal-framework-for-thyroid-cancer-analysis-using-clinical-and-ultrasound-data-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thyronet-xai-an-explainable-multimodal-framework-for-thyroid-cancer-analysis-using-clinical-and-ultrasound-data-2/]]></link>
			<title>ThyroNet-XAI: An Explainable Multimodal Framework for Thyroid Cancer Analysis Using Clinical and Ultrasound Data</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:20:05 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tedm-x-transformer-embedded-dirichlet-mixture-topic-discovery-for-automatic-and-interpretable-text-clustering-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tedm-x-transformer-embedded-dirichlet-mixture-topic-discovery-for-automatic-and-interpretable-text-clustering-2/]]></link>
			<title>TEDM-X: Transformer-Embedded Dirichlet Mixture Topic Discovery for Automatic and Interpretable Text Clustering</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:18:06 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-attendance-monitoring-framework-using-fingerprint-authentication-and-facenet-svm-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-attendance-monitoring-framework-using-fingerprint-authentication-and-facenet-svm-recognition/]]></link>
			<title>A Hybrid Attendance Monitoring Framework Using Fingerprint Authentication and FaceNet-SVM Recognition</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:17:58 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/llm-assisted-service-migration-and-resource-allocation-for-dynamic-cloud-edge-computing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/llm-assisted-service-migration-and-resource-allocation-for-dynamic-cloud-edge-computing/]]></link>
			<title>LLM-Assisted Service Migration and Resource Allocation for Dynamic Cloud-Edge Computing</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:16:29 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-strategy-machine-learning-framework-for-real-estate-price-prediction-pooled-contextual-and-segmented-approaches/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-strategy-machine-learning-framework-for-real-estate-price-prediction-pooled-contextual-and-segmented-approaches/]]></link>
			<title>A Multi-Strategy Machine Learning Framework for Real-Estate Price Prediction: Pooled, Contextual, and Segmented Approaches</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:16:04 +0000]]></pubDate>
		</item>
				</channel>
</rss>
