<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on July 19, 2026 at 7:46 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[Sun, 19 Jul 2026 12:23:46 +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/classification-of-covid-19-from-chest-x-ray-images-using-a-machine-vision-technique-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/classification-of-covid-19-from-chest-x-ray-images-using-a-machine-vision-technique-2/]]></link>
			<title>Classification of COVID-19 from Chest X-Ray Images Using a Machine Vision Technique</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 12:23:46 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-online-barnacles-mating-optimization-based-pi-controller-for-dab-converters-in-ev-charging-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-online-barnacles-mating-optimization-based-pi-controller-for-dab-converters-in-ev-charging-2/]]></link>
			<title>An Online Barnacles Mating Optimization-Based PI Controller for DAB Converters in EV Charging</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 12:03:13 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-attention-based-transformer-framework-for-depression-detection-using-social-media-text/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-attention-based-transformer-framework-for-depression-detection-using-social-media-text/]]></link>
			<title>An Explainable Attention-Based Transformer Framework for Depression Detection Using Social Media Text</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 09:54:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/one-year-performance-evaluation-of-a-157-kwp-floating-photovoltaic-system-under-a-tropical-monsoon-climate-at-umpsa-malaysia-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/one-year-performance-evaluation-of-a-157-kwp-floating-photovoltaic-system-under-a-tropical-monsoon-climate-at-umpsa-malaysia-2/]]></link>
			<title>One-Year Performance Evaluation of a 157 kWp Floating Photovoltaic System under a Tropical Monsoon Climate at UMPSA, Malaysia</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 08:59:13 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ann-and-lstm-models-for-hourly-power-prediction-of-a-tropical-floating-photovoltaic-system-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ann-and-lstm-models-for-hourly-power-prediction-of-a-tropical-floating-photovoltaic-system-2/]]></link>
			<title>ANN and LSTM Models for Hourly Power Prediction of a Tropical Floating Photovoltaic System</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 08:38:57 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-optimization-of-a-battery-energy-storage-system-for-a-tropical-floating-photovoltaic-plant/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-optimization-of-a-battery-energy-storage-system-for-a-tropical-floating-photovoltaic-plant/]]></link>
			<title>Techno-Economic Optimization of a Battery Energy Storage System for a Tropical Floating Photovoltaic Plant</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 08:33:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ecg-signal-processing-on-fpga-for-emerging-telehealthcare-applications/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ecg-signal-processing-on-fpga-for-emerging-telehealthcare-applications/]]></link>
			<title>ECG Signal Processing on FPGA for Emerging Telehealthcare Applications</title>
			<pubDate><![CDATA[Sat, 18 Jul 2026 07:24:21 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/product/tutorial-attendance/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/product/tutorial-attendance/]]></link>
			<title>IEEE i-COSTE Paper Fees</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 01:56:27 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/]]></link>
			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Sat, 04 May 2024 03:33:24 +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, 15 Jul 2026 06:18:14 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/clustering-based-undersampling-using-k-means-for-class-imbalanced-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/clustering-based-undersampling-using-k-means-for-class-imbalanced-data/]]></link>
			<title>Clustering-Based Undersampling Using K-Means for Class-Imbalanced Data</title>
			<pubDate><![CDATA[Tue, 14 Jul 2026 17:26:46 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-free-ml-framework-for-cycle-count-prioritization-in-multi-depot-distribution-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-free-ml-framework-for-cycle-count-prioritization-in-multi-depot-distribution-networks/]]></link>
			<title>A Leakage-Free ML Framework for Cycle-Count Prioritization in Multi-Depot Distribution Networks</title>
			<pubDate><![CDATA[Tue, 07 Jul 2026 08:41:11 +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[Thu, 09 Jul 2026 08:25:39 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-blockchain-and-digital-data-driven-transformation-of-healthcare-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-blockchain-and-digital-data-driven-transformation-of-healthcare-in-bangladesh/]]></link>
			<title>AI, Blockchain and Digital Data-Driven Transformation of Healthcare in Bangladesh</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 18:17:42 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-objective-genetic-algorithm-based-approach-for-explainable-healthcare-fraud-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-objective-genetic-algorithm-based-approach-for-explainable-healthcare-fraud-detection/]]></link>
			<title>An Explainable Multi-Objective Genetic Algorithm Framework for Healthcare Fraud Detection</title>
			<pubDate><![CDATA[Sun, 05 Jul 2026 10:54:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-verification-to-forecasting-monitoring-official-crime-trends-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-verification-to-forecasting-monitoring-official-crime-trends-in-bangladesh/]]></link>
			<title>From Verification to Forecasting: Monitoring Official Crime Trends in Bangladesh</title>
			<pubDate><![CDATA[Sun, 05 Jul 2026 10:38:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fedxddos-an-explainable-federated-learning-framework-for-ddos-attack-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fedxddos-an-explainable-federated-learning-framework-for-ddos-attack-detection/]]></link>
			<title>FedXDDoS: An Explainable Federated Learning Framework for DDoS Attack Detection</title>
			<pubDate><![CDATA[Sun, 05 Jul 2026 10:19:34 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/greenhybridecgnet-edge-federated-cnn-transformers-for-arrhythmia-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/greenhybridecgnet-edge-federated-cnn-transformers-for-arrhythmia-classification/]]></link>
			<title>GreenHybridECGNet: Edge-Federated CNN-Transformers for Arrhythmia Classification</title>
			<pubDate><![CDATA[Sun, 05 Jul 2026 10:13:50 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physics-informed-machine-learning-for-route-feasibility-prediction-in-quantum-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physics-informed-machine-learning-for-route-feasibility-prediction-in-quantum-networks/]]></link>
			<title>Physics-Informed Machine Learning for Route Feasibility Prediction in Quantum Networks</title>
			<pubDate><![CDATA[Sun, 05 Jul 2026 09:55:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hydrogen-storage-performance-of-a-novel-pentagonal-znte%e2%82%82-monolayer-a-density-functional-theory-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hydrogen-storage-performance-of-a-novel-pentagonal-znte%e2%82%82-monolayer-a-density-functional-theory-study/]]></link>
			<title>.</title>
			<pubDate><![CDATA[Sun, 05 Jul 2026 06:44:52 +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[Sun, 05 Jul 2026 02:47:07 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-median-based-clustering-approach-to-restore-mri-images-from-high-density-salt-and-pepper-noise/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-median-based-clustering-approach-to-restore-mri-images-from-high-density-salt-and-pepper-noise/]]></link>
			<title>Adaptive Median-Based Clustering Approach to Restore MRI Images from High-Density Salt-and-Pepper Noise</title>
			<pubDate><![CDATA[Sat, 04 Jul 2026 14:01:36 +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[Mon, 13 Jul 2026 16:32:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-cybersecurity-awareness-prediction-and-behavioral-pattern-mining-using-survey-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-framework-for-cybersecurity-awareness-prediction-and-behavioral-pattern-mining-using-survey-data/]]></link>
			<title>Explainable Machine Learning Framework for Cybersecurity Awareness Prediction and Behavioral Pattern Mining Using Survey Data</title>
			<pubDate><![CDATA[Wed, 01 Jul 2026 05:49:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/empirical-study-on-sustainable-technologies-in-bangladesh-health-sector-telemedicine-and-socio-economic-outcomes-of-rural-centers/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/empirical-study-on-sustainable-technologies-in-bangladesh-health-sector-telemedicine-and-socio-economic-outcomes-of-rural-centers/]]></link>
			<title>Empirical Study on Sustainable Technologies in Bangladesh Health Sector: Telemedicine and Socio-Economic Outcomes of Rural Centers</title>
			<pubDate><![CDATA[Fri, 17 Jul 2026 09:43:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/institutional-readiness-for-ai-driven-sustainable-business-education-evidence-from-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/institutional-readiness-for-ai-driven-sustainable-business-education-evidence-from-bangladesh/]]></link>
			<title>Institutional Readiness for AI-Driven Sustainable Business Education: Evidence from Bangladesh</title>
			<pubDate><![CDATA[Tue, 30 Jun 2026 18:43:36 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rak-ensemble-model-for-reliable-ecg-based-arrhythmia-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rak-ensemble-model-for-reliable-ecg-based-arrhythmia-classification/]]></link>
			<title>A Hybrid RAK Ensemble Model for Reliable ECG Based Arrhythmia Classification</title>
			<pubDate><![CDATA[Tue, 30 Jun 2026 18:27:07 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/intelligent-web-attack-classification-using-ensemble-machine-learning-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/intelligent-web-attack-classification-using-ensemble-machine-learning-models/]]></link>
			<title>Intelligent Web Attack Classification Using Ensemble Machine Learning Models</title>
			<pubDate><![CDATA[Tue, 30 Jun 2026 16:48:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-efficient-android-malware-family-classification-a-shap-driven-analysis-of-dynamic-behavioral-indicators/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-efficient-android-malware-family-classification-a-shap-driven-analysis-of-dynamic-behavioral-indicators/]]></link>
			<title>Feature-Efficient Android Malware Family Classification: A SHAP-Driven Analysis of Dynamic Behavioral Indicators</title>
			<pubDate><![CDATA[Tue, 30 Jun 2026 16:33:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-edge-ai-for-chest-x-ray-pneumonia-diagnosis-an-eada-benchmark/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-edge-ai-for-chest-x-ray-pneumonia-diagnosis-an-eada-benchmark/]]></link>
			<title>Green Edge AI for Chest X-Ray Pneumonia Diagnosis: An EADA Benchmark</title>
			<pubDate><![CDATA[Thu, 16 Jul 2026 10:00:28 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/polypsegnet-an-attention-guided-multi-scale-feature-fusion-network-for-accurate-colorectal-polyp-segmentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/polypsegnet-an-attention-guided-multi-scale-feature-fusion-network-for-accurate-colorectal-polyp-segmentation/]]></link>
			<title>PolypSegNet: An Attention-Guided Multi-Scale Feature Fusion Network for Accurate Colorectal Polyp Segmentation</title>
			<pubDate><![CDATA[Thu, 02 Jul 2026 08:29:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bridging-the-gap-use-symbolic-language-as-a-prompt-between-human-emotion-and-machine-logic/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bridging-the-gap-use-symbolic-language-as-a-prompt-between-human-emotion-and-machine-logic/]]></link>
			<title>Bridging the Gap: Use Symbolic Language as a Prompt Between Human Emotion and Machine Logic*</title>
			<pubDate><![CDATA[Thu, 02 Jul 2026 00:41:29 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-deep-transfer-learning-framework-for-multi-class-brain-tumor-classification-with-explainable-decision-support/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robust-deep-transfer-learning-framework-for-multi-class-brain-tumor-classification-with-explainable-decision-support/]]></link>
			<title>Robust Deep Transfer Learning Framework for Multi-Class Brain Tumor Classification with Explainable Decision Support</title>
			<pubDate><![CDATA[Mon, 29 Jun 2026 09:27:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pvt-v2-b2-fpn-a-multi-resolution-transformer-based-framework-for-accurate-colorectal-polyp-segmentation-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pvt-v2-b2-fpn-a-multi-resolution-transformer-based-framework-for-accurate-colorectal-polyp-segmentation-2/]]></link>
			<title>PVT-v2-B2-FPN: A Multi-Resolution Transformer-Based Framework for Accurate Colorectal Polyp Segmentation</title>
			<pubDate><![CDATA[Mon, 29 Jun 2026 09:15:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pvt-v2-b2-fpn-a-multi-resolution-transformer-based-framework-for-accurate-colorectal-polyp-segmentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pvt-v2-b2-fpn-a-multi-resolution-transformer-based-framework-for-accurate-colorectal-polyp-segmentation/]]></link>
			<title>PVT-v2-B2-FPN: A Multi-Resolution Transformer-Based Framework for Accurate Colorectal Polyp Segmentation</title>
			<pubDate><![CDATA[Mon, 29 Jun 2026 08:54:50 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-and-class-balanced-gradient-boosting-framework-for-heart-disease-prediction-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-and-class-balanced-gradient-boosting-framework-for-heart-disease-prediction-2/]]></link>
			<title>An Explainable and Class-Balanced Gradient Boosting Framework for Heart Disease Prediction</title>
			<pubDate><![CDATA[Sun, 28 Jun 2026 17:14:04 +0000]]></pubDate>
		</item>
					<item>
			<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[Fri, 03 Jul 2026 11:28:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vit-sign-an-explainable-vision-transformer-for-sign-language-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vit-sign-an-explainable-vision-transformer-for-sign-language-recognition/]]></link>
			<title>ViT-Sign: An Explainable Vision Transformer for Sign Language Recognition</title>
			<pubDate><![CDATA[Tue, 16 Jun 2026 05:48:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/human-ai-co-creation-in-software-development-a-database-centric-approach-for-empowering-non-it-students/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/human-ai-co-creation-in-software-development-a-database-centric-approach-for-empowering-non-it-students/]]></link>
			<title>Human-AI Co-Creation in Software Development:  A Database-Centric Approach for Empowering  Non-IT Students</title>
			<pubDate><![CDATA[Fri, 03 Jul 2026 06:36:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-first-come-first-served-to-eevdf-an-empirical-survey-of-cpu-scheduling-using-google-borg-cluster-traces/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-first-come-first-served-to-eevdf-an-empirical-survey-of-cpu-scheduling-using-google-borg-cluster-traces/]]></link>
			<title>From First-Come-First-Served to EEVDF: An Empirical Survey of CPU Scheduling Using Google Borg Cluster Traces</title>
			<pubDate><![CDATA[Sun, 28 Jun 2026 12:40:15 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-smart-grid-distribution-systems-in-emerging-economies-a-bangladesh-perspective/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-smart-grid-distribution-systems-in-emerging-economies-a-bangladesh-perspective/]]></link>
			<title>Development of Smart Grid Distribution Systems in Emerging Economies: A Bangladesh Perspective</title>
			<pubDate><![CDATA[Wed, 17 Jun 2026 11:22:21 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/digital-financial-inclusion-for-resilient-digital-ecosystems-in-fiji-and-the-pacific-islands-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/digital-financial-inclusion-for-resilient-digital-ecosystems-in-fiji-and-the-pacific-islands-2/]]></link>
			<title>Digital Financial Inclusion for Resilient Digital  Ecosystems in Fiji and the Pacific Islands</title>
			<pubDate><![CDATA[Wed, 10 Jun 2026 16:23:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/product/virtual-registration/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/product/virtual-registration/]]></link>
			<title>Virtual Registration</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 01:56:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/product/2nd-paper-registration/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/product/2nd-paper-registration/]]></link>
			<title>2nd Paper Registration</title>
			<pubDate><![CDATA[Tue, 09 Jun 2026 01:56:34 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/mer-samf-multimodal-emotion-recognition-in-bengali-using-sequence-aware-multimodal-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/mer-samf-multimodal-emotion-recognition-in-bengali-using-sequence-aware-multimodal-fusion/]]></link>
			<title>MER-SAMF: Multimodal Emotion Recognition in Bengali Using Sequence-Aware Multimodal Fusion</title>
			<pubDate><![CDATA[Sat, 27 Jun 2026 15:58:16 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banana-leaf-disease-classification-using-explainable-deep-learning-for-farmer-oriented-advisory-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banana-leaf-disease-classification-using-explainable-deep-learning-for-farmer-oriented-advisory-system/]]></link>
			<title>Banana Leaf Disease Classification Using Explainable Deep Learning For Farmer-Oriented Advisory System</title>
			<pubDate><![CDATA[Mon, 15 Jun 2026 13:31:23 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tinyml-powered-real-time-rotating-machinery-fault-detection-using-vibration-spectral-analysis-on-esp32-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tinyml-powered-real-time-rotating-machinery-fault-detection-using-vibration-spectral-analysis-on-esp32-2/]]></link>
			<title>TinyML Powered Real Time Rotating Machinery Fault Detection Using Vibration Spectral Analysis on ESP32</title>
			<pubDate><![CDATA[Fri, 26 Jun 2026 07:06:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-fusion-model-for-non-alcoholic-fatty-liver-disease-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-fusion-model-for-non-alcoholic-fatty-liver-disease-risk-prediction/]]></link>
			<title>Explainable Fusion Model for Non-Alcoholic Fatty Liver Disease Risk Prediction</title>
			<pubDate><![CDATA[Fri, 19 Jun 2026 08:27:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-fusion-model-for-efficient-skin-cancer-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-fusion-model-for-efficient-skin-cancer-classification/]]></link>
			<title>Feature Fusion Model for Efficient Skin Cancer Classification</title>
			<pubDate><![CDATA[Fri, 19 Jun 2026 06:41:29 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-a-thematic-approach-for-sustainable-green-campuses-for-higher-education-institutions-heis-bangladesh-perspective/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-a-thematic-approach-for-sustainable-green-campuses-for-higher-education-institutions-heis-bangladesh-perspective/]]></link>
			<title>Development of a Thematic Approach for Sustainable Green Campuses for Higher Education Institutions (HEIs): Bangladesh Perspective</title>
			<pubDate><![CDATA[Fri, 03 Jul 2026 04:41:40 +0000]]></pubDate>
		</item>
				</channel>
</rss>
