<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on September 2, 2026 at 5:02 pm by All in One SEO v4.5.7.1 - 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[Wed, 02 Sep 2026 16:44:13 +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-comparative-study-of-spatial-frequency-domain-and-color-channel-preprocessing-filters-for-fundus-based-cataract-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-study-of-spatial-frequency-domain-and-color-channel-preprocessing-filters-for-fundus-based-cataract-detection/]]></link>
			<title>A Comparative Study of Spatial, Frequency-Domain, and Color-Channel Preprocessing Filters for Fundus-Based Cataract Detection</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 16:44:13 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-of-significance-of-rechargeable-battery-with-special-emphasis-on-lithium-ion-technology-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-of-significance-of-rechargeable-battery-with-special-emphasis-on-lithium-ion-technology-2/]]></link>
			<title>Evaluation of Significance of Rechargeable Battery with Special  Emphasis on Lithium-ion Technology</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 15:58:13 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ensemble-deep-learning-framework-for-calibrated-and-explainable-diabetic-retinopathy-grading-on-retinamnist/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ensemble-deep-learning-framework-for-calibrated-and-explainable-diabetic-retinopathy-grading-on-retinamnist/]]></link>
			<title>Ensemble Deep Learning Framework for Calibrated  and Explainable Diabetic Retinopathy Grading on  RetinaMNIST</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 15:36:36 +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, 02 Sep 2026 14:32:52 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-coupled-index-machine-learning-optimization-framework-for-river-water-quality-assessment-and-control-the-halda-river-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-coupled-index-machine-learning-optimization-framework-for-river-water-quality-assessment-and-control-the-halda-river-bangladesh/]]></link>
			<title>A Coupled Index Machine Learning Optimization Framework for River Water Quality Assessment and Control: The Halda River, Bangladesh</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 13:52:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-feature-fusion-network-for-automated-skin-cancer-detection-from-dermoscopic-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-hybrid-feature-fusion-network-for-automated-skin-cancer-detection-from-dermoscopic-images/]]></link>
			<title>Explainable Hybrid Feature Fusion Network for Automated Skin Cancer Detection from Dermoscopic Images</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 13:45:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/few-shot-hybrid-time-series-and-large-language-model-framework-for-air-leak-fault-diagnosis-in-pressurized-pneumatic-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/few-shot-hybrid-time-series-and-large-language-model-framework-for-air-leak-fault-diagnosis-in-pressurized-pneumatic-systems/]]></link>
			<title>Few-Shot Hybrid Time Series and Large Language Model Framework for Air Leak Fault Diagnosis in Pressurized Pneumatic Systems</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 13:40:11 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/web-based-explainable-deep-learning-framework-for-skin-disease-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/web-based-explainable-deep-learning-framework-for-skin-disease-detection/]]></link>
			<title>Web-based Explainable Deep Learning Framework for Skin Disease Detection</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 12:57:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multimodal-framework-for-bangla-fake-news-classification-through-cross-attention-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multimodal-framework-for-bangla-fake-news-classification-through-cross-attention-fusion/]]></link>
			<title>A Multimodal Framework for Bangla Fake News Classification through Cross-Attention Fusion</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 12:56:43 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-driven-deep-adaptive-learning-framework-for-breast-cancer-classification-using-histopathology-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-driven-deep-adaptive-learning-framework-for-breast-cancer-classification-using-histopathology-images/]]></link>
			<title>An Explainable AI-Driven Deep Adaptive Learning Framework for Breast Cancer Classification Using Histopathology Images</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 12:40:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interface-dependent-current-and-voltage-losses-in-a-lead-free-znse-fasni3-cu2o-perovskite-solar-cell-a-scaps-1d-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interface-dependent-current-and-voltage-losses-in-a-lead-free-znse-fasni3-cu2o-perovskite-solar-cell-a-scaps-1d-study/]]></link>
			<title>Interface-Dependent Current and Voltage Losses in a Lead-Free ZnSe/FASnI3/Cu2O Perovskite Solar Cell: A SCAPS-1D Study</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 11:58:26 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/trisense-ai-a-non-circular-evaluation-of-lstm-dbscan-xgboost-fusion-for-industrial-predictive-maintenance/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/trisense-ai-a-non-circular-evaluation-of-lstm-dbscan-xgboost-fusion-for-industrial-predictive-maintenance/]]></link>
			<title>TriSense-AI: A Non-Circular Evaluation of LSTM-DBSCAN-XGBoost Fusion for Industrial Predictive Maintenance</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 08:47:34 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-approach-for-bus-safety-risk-classification-in-data-scarce-transport-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-approach-for-bus-safety-risk-classification-in-data-scarce-transport-networks/]]></link>
			<title>An Explainable AI Approach for Bus Safety Risk Classification in Data-Scarce Transport Networks</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 06:59:57 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-bug-detection-root-cause-theme-discovery-and-solution-recommendation-using-large-language-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-bug-detection-root-cause-theme-discovery-and-solution-recommendation-using-large-language-models/]]></link>
			<title>Automated Bug Detection, Root-Cause Theme Discovery, and Solution Recommendation Using Large Language Models</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 06:49:26 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/early-detection-of-traffic-congestion-before-breakdown-a-spatiotemporal-warning-framework-for-intelligent-transportation-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/early-detection-of-traffic-congestion-before-breakdown-a-spatiotemporal-warning-framework-for-intelligent-transportation-systems/]]></link>
			<title>Early Detection of Traffic Congestion Before Breakdown: A Spatiotemporal Warning Framework for Intelligent Transportation Systems</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 06:44:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/developing-and-validating-a-decision-analytics-maturity-model-for-human-resource-management-using-cfa-and-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/developing-and-validating-a-decision-analytics-maturity-model-for-human-resource-management-using-cfa-and-machine-learning/]]></link>
			<title>Developing and Validating a Decision Analytics Maturity Model for Human Resource Management Using CFA and Machine Learning</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 05:16:08 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/personalized-thyroid-disorder-diagnosis-system-through-adaptive-expert-routing-and-intelligent-selection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/personalized-thyroid-disorder-diagnosis-system-through-adaptive-expert-routing-and-intelligent-selection/]]></link>
			<title>Personalized Thyroid Disorder Diagnosis System through Adaptive Expert Routing and Intelligent Selection</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 05:09:14 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/data-leakage-and-the-limits-of-attention-a-significance-tested-benchmark-for-solar-panel-fault-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/data-leakage-and-the-limits-of-attention-a-significance-tested-benchmark-for-solar-panel-fault-detection/]]></link>
			<title>Data Leakage and the Limits of Attention: A Significance-Tested Benchmark for Solar Panel Fault Detection</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 05:00:18 +0000]]></pubDate>
		</item>
					<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, 02 Sep 2026 03:11:15 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/twenty-five-years-of-air-quality-in-bangladesh-trends-seasonality-and-spatial-pollution-regimes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/twenty-five-years-of-air-quality-in-bangladesh-trends-seasonality-and-spatial-pollution-regimes/]]></link>
			<title>Twenty-Five Years of Air Quality in Bangladesh: Trends, Seasonality, and Spatial Pollution Regimes</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 01:44:42 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/implementation-of-an-fm-transmitter-circuit-for-fm-radio-signal-communication/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/implementation-of-an-fm-transmitter-circuit-for-fm-radio-signal-communication/]]></link>
			<title>Implementation of an FM Transmitter Circuit for FM Radio Signal Communication</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 00:02:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/advanced-analysis-of-amplitude-modulation-and-demodulation-techniques-for-enhanced-signal-processing-in-analog-communication-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/advanced-analysis-of-amplitude-modulation-and-demodulation-techniques-for-enhanced-signal-processing-in-analog-communication-systems/]]></link>
			<title>Advanced Analysis of Amplitude Modulation and Demodulation Techniques for Enhanced Signal Processing in Analog Communication Systems</title>
			<pubDate><![CDATA[Wed, 02 Sep 2026 00:01:16 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/low-cost-water-level-indicator-using-logic-gates-for-enhanced-water-management/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/low-cost-water-level-indicator-using-logic-gates-for-enhanced-water-management/]]></link>
			<title>Low-Cost Water Level Indicator Using Logic Gates for Enhanced Water Management</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 23:46:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/wideband-antenna-design-and-performance-analysis-using-cst-simulations/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/wideband-antenna-design-and-performance-analysis-using-cst-simulations/]]></link>
			<title>Wideband Antenna Design and Performance Analysis Using CST Simulations</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 23:43:00 +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[Tue, 01 Sep 2026 23:40:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-machine-learning-framework-for-cyberbullying-detection-in-social-media-comments-hybrid-lexical-sublexical-modeling-with-global-and-local-explanations-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-machine-learning-framework-for-cyberbullying-detection-in-social-media-comments-hybrid-lexical-sublexical-modeling-with-global-and-local-explanations-2/]]></link>
			<title>An Explainable Machine Learning Framework for Cyberbullying Detection in Social Media Comments: Hybrid Lexical–Sublexical Modeling with Global and Local Explanations</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 21:35:21 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/regime-aware-temporal-convolutional-gated-recurrent-forecasting-of-hydrogen-production-in-wave-driven-pem-electrolysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/regime-aware-temporal-convolutional-gated-recurrent-forecasting-of-hydrogen-production-in-wave-driven-pem-electrolysis/]]></link>
			<title>Regime-Aware Temporal Convolutional–Gated Recurrent Forecasting of Hydrogen Production in Wave-Driven PEM Electrolysis</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 19:23:50 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-assessment-of-near-and-far-field-em-radiation-from-daily-use-wireless-devices-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-assessment-of-near-and-far-field-em-radiation-from-daily-use-wireless-devices-2/]]></link>
			<title>A Comparative Assessment of Near- and Far-Field EM Radiation from Daily-Use Wireless Devices</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 18:33:23 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-assessment-of-near-and-far-field-em-radiation-from-daily-use-wireless-devices/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-assessment-of-near-and-far-field-em-radiation-from-daily-use-wireless-devices/]]></link>
			<title>A Comparative Assessment of Near- and Far-Field EM Radiation from Daily-Use Wireless Devices</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 18:33:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-internal-validation-cross-dataset-generalization-of-machine-learning-and-deep-learning-models-for-oral-cancer-image-classification-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-internal-validation-cross-dataset-generalization-of-machine-learning-and-deep-learning-models-for-oral-cancer-image-classification-2/]]></link>
			<title>Beyond Internal Validation: Cross-Dataset Generalization of Machine Learning and Deep Learning Models for Oral Cancer Image Classification</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 18:26:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lauc-risknet-leakage-aware-and-interpretable-learning-for-rule-driven-mental-health-labels/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lauc-risknet-leakage-aware-and-interpretable-learning-for-rule-driven-mental-health-labels/]]></link>
			<title>LAUC-RiskNet: Leakage-Aware and Interpretable Learning for Rule-Driven Mental-Health Labels</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 18:08:28 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-retrieval-augmented-generation-framework-for-cancer-health-question-answering-using-semantic-filtering-and-gpt-4o-mini-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-retrieval-augmented-generation-framework-for-cancer-health-question-answering-using-semantic-filtering-and-gpt-4o-mini-3/]]></link>
			<title>A Retrieval-Augmented Generation Framework for Cancer Health Question Answering Using Semantic Filtering and GPT-4o-mini</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 17:59:06 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-retrieval-augmented-generation-framework-for-cancer-health-question-answering-using-semantic-filtering-and-gpt-4o-mini-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-retrieval-augmented-generation-framework-for-cancer-health-question-answering-using-semantic-filtering-and-gpt-4o-mini-2/]]></link>
			<title>A Retrieval-Augmented Generation Framework for Cancer Health Question Answering Using Semantic Filtering and GPT-4o-mini</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 17:32:14 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-retrieval-augmented-generation-framework-for-cancer-health-question-answering-using-semantic-filtering-and-gpt-4o-mini/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-retrieval-augmented-generation-framework-for-cancer-health-question-answering-using-semantic-filtering-and-gpt-4o-mini/]]></link>
			<title>A Retrieval-Augmented Generation Framework for Cancer Health Question Answering Using Semantic Filtering and GPT-4o-mini</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 17:32:13 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-arterial-network-resilience-post-mass-transit-integration-a-hybrid-simulation-and-empirical-corridor-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-arterial-network-resilience-post-mass-transit-integration-a-hybrid-simulation-and-empirical-corridor-study/]]></link>
			<title>Evaluating Arterial Network Resilience Post-Mass Transit Integration: A Hybrid Simulation and Empirical Corridor Study</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 17:00:06 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/q-learning-based-degradation-aware-bess-management-for-agricultural-microgrids/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/q-learning-based-degradation-aware-bess-management-for-agricultural-microgrids/]]></link>
			<title>Q-Learning-Based Degradation-Aware BESS Management for Agricultural Microgrids</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 16:37:11 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-and-probability-calibrated-adaboost-framework-for-type-2-diabetes-risk-prediction-using-smotetomek/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-and-probability-calibrated-adaboost-framework-for-type-2-diabetes-risk-prediction-using-smotetomek/]]></link>
			<title>An Explainable and Probability-Calibrated AdaBoost Framework for Type-2 Diabetes Risk Prediction Using SMOTETomek</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 16:00:57 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-lightweight-deep-learning-for-plant-leaf-disease-detection-using-mobilenet-and-grad-cam/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-lightweight-deep-learning-for-plant-leaf-disease-detection-using-mobilenet-and-grad-cam/]]></link>
			<title>Explainable Lightweight Deep Learning for Plant Leaf Disease Detection Using MobileNet and Grad-CAM</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 15:26:26 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-implementation-of-an-intelligent-solar-panel-monitoring-and-single-axis-auto-tracking-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-implementation-of-an-intelligent-solar-panel-monitoring-and-single-axis-auto-tracking-system/]]></link>
			<title>Design and Implementation of an Intelligent Solar Panel Monitoring and Single-Axis Auto-Tracking System</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 13:46:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-trust-weighted-blockchain-framework-coupling-ai-driven-risk-scoring-with-bounded-sybil-resistant-stake-economics/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-trust-weighted-blockchain-framework-coupling-ai-driven-risk-scoring-with-bounded-sybil-resistant-stake-economics/]]></link>
			<title>A Trust-Weighted Blockchain Framework Coupling AI-Driven Risk Scoring with Bounded Sybil-Resistant Stake Economics</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 13:39:57 +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>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/traffic-demand-regulation-by-an-intelligent-management-system-in-dhaka-city/]]></link>
			<title>Traffic Demand Regulation by an Intelligent Management System in Dhaka City</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 11:44:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/history-based-improvement-of-the-co-change-suggestion-capability-of-fleccs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/history-based-improvement-of-the-co-change-suggestion-capability-of-fleccs/]]></link>
			<title>History-based Improvement of the Co-change Suggestion Capability of FLeCCS</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 10:11:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ensemble-machine-learning-framework-for-predicting-icu-mortality-in-critically-ill-patients/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ensemble-machine-learning-framework-for-predicting-icu-mortality-in-critically-ill-patients/]]></link>
			<title>An Explainable Ensemble Machine-Learning Framework for Predicting ICU Mortality in Critically Ill Patients</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 09:05:17 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bibliometric-analysis-and-knowledge-discovery-patterns-in-cybersecurity-based-fraud-detection-systems-in-the-banking-sector/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bibliometric-analysis-and-knowledge-discovery-patterns-in-cybersecurity-based-fraud-detection-systems-in-the-banking-sector/]]></link>
			<title>Bibliometric Analysis and Knowledge Discovery Patterns in Cybersecurity-Based Fraud Detection Systems in the Banking Sector</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 07:03:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-multi-scale-lesion-attention-transformer-framework-with-retrieval-augmented-farmer-guidance-for-onion-leaf-disease-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-multi-scale-lesion-attention-transformer-framework-with-retrieval-augmented-farmer-guidance-for-onion-leaf-disease-diagnosis/]]></link>
			<title>An Intelligent Multi-Scale Lesion Attention Transformer Framework with Retrieval-Augmented Farmer Guidance for Onion Leaf Disease Diagnosis</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 06:37:52 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/advancements-in-fast-and-wireless-electric-vehicle-charging-performance-trade-offs-system-challenges-and-future-directions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/advancements-in-fast-and-wireless-electric-vehicle-charging-performance-trade-offs-system-challenges-and-future-directions/]]></link>
			<title>Advancements in Fast and Wireless Electric Vehicle Charging: Performance Trade-Offs, System Challenges, and Future Directions</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 04:56:42 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dynamic-performance-analysis-of-a-30kw-pv-system-using-po-based-maximum-power-point-tracking/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dynamic-performance-analysis-of-a-30kw-pv-system-using-po-based-maximum-power-point-tracking/]]></link>
			<title>Dynamic Performance Analysis of a 30kW PV System using P&amp;O-Based Maximum Power Point Tracking</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 04:52:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-federated-iiot-intrusion-detection-under-byzantine-label-poisoning-attacks-class-wise-and-client-wise-analysis-on-datasense/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-federated-iiot-intrusion-detection-under-byzantine-label-poisoning-attacks-class-wise-and-client-wise-analysis-on-datasense/]]></link>
			<title>Robust Federated IIoT Intrusion Detection Under Byzantine Label-Poisoning Attacks: Class-Wise and Client-Wise Analysis on DataSense</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:44:56 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-uncertainty-for-mammography-classification-failure-detection-limited-incremental-value-of-saliency-map-instability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-uncertainty-for-mammography-classification-failure-detection-limited-incremental-value-of-saliency-map-instability/]]></link>
			<title>Predictive Uncertainty for Mammography Classification Failure Detection: Limited Incremental Value of Saliency-Map Instability</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:34:16 +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[Thu, 27 Aug 2026 11:09:48 +0000]]></pubDate>
		</item>
				</channel>
</rss>
