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		<title>NPS Australia Submission System</title>
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			<title>Energy-Efficient Multimodal AI for Optimizing Crop Yields in Smart Agriculture</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 20:54:21 +0000]]></pubDate>
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			<title>From First-Come-First-Served to EEVDF: An Empirical Survey of CPU Scheduling Using Google Borg Cluster Traces</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 19:39:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predicting-e-learning-efficacy-and-gap-closure-in-post-pandemic-higher-education-using-machine-learning-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predicting-e-learning-efficacy-and-gap-closure-in-post-pandemic-higher-education-using-machine-learning-2/]]></link>
			<title>Predicting E-Learning Efficacy and Gap Closure in Post-Pandemic Higher Education Using Machine Learning</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 18:16:19 +0000]]></pubDate>
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			<title>Domain-Adaptive Fusion of Wavelet-Entropy and wPLI Graph Attention for Cross-Dataset EEG Seizure Detection</title>
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			<title>Bangladeshi Participant</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 13:14:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-dataset-dermatological-lesion-classification-via-self-supervised-feature-extraction-and-attention-driven-hybrid-resampling-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-dataset-dermatological-lesion-classification-via-self-supervised-feature-extraction-and-attention-driven-hybrid-resampling-networks/]]></link>
			<title>Multi-Dataset Dermatological Lesion Classification via Self-Supervised Feature Extraction and Attention-Driven Hybrid Resampling Networks</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 12:34:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-technostress-drains-and-autonomy-protects-how-organizational-support-sustains-employee-well-being-in-hybrid-work-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-technostress-drains-and-autonomy-protects-how-organizational-support-sustains-employee-well-being-in-hybrid-work-2/]]></link>
			<title>When Technostress Drains and Autonomy Protects: How Organizational Support Sustains Employee Well-Being in Hybrid Work</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 11:10:16 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predicting-solar-pv-power-under-real-world-conditions-a-comparative-evaluation-of-interpretable-machine-learning-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predicting-solar-pv-power-under-real-world-conditions-a-comparative-evaluation-of-interpretable-machine-learning-models/]]></link>
			<title>Predicting Solar PV Power Under Real-World Conditions: A Comparative Evaluation of Interpretable Machine Learning Models</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 10:50:19 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/kishinet-a-lightweight-hybrid-cnn-transformer-architecture-with-an-attention-and-out-of-distribution-rejection-mechanism-for-explainable-multi-crop-plant-disease-detection-and-mobile-deployme/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/kishinet-a-lightweight-hybrid-cnn-transformer-architecture-with-an-attention-and-out-of-distribution-rejection-mechanism-for-explainable-multi-crop-plant-disease-detection-and-mobile-deployme/]]></link>
			<title>KishiNet: A Lightweight Hybrid CNN–Transformer Architecture with an Attention and Out-of-Distribution Rejection Mechanism for Explainable Multi-Crop Plant Disease Detection and Mobile Deployment</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:44:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/amar-surokha-an-integrated-mobile-application-for-spatiotemporal-crime-prediction-and-emergency-contact-management/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/amar-surokha-an-integrated-mobile-application-for-spatiotemporal-crime-prediction-and-emergency-contact-management/]]></link>
			<title>Amar Surokha: An Integrated Mobile Application for Spatiotemporal Crime Prediction and Emergency Contact Management</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:32:38 +0000]]></pubDate>
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			<title>Failed</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:26:11 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-home-energy-management-framework-for-bidirectional-ev-charging-and-solar-battery-peak-shaving-in-residential-microgrids/]]></guid>
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			<title>A Home Energy Management Framework for Bidirectional EV Charging and Solar-Battery Peak Shaving in Residential Microgrids</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:25:39 +0000]]></pubDate>
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			<title>Success</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:25:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-investigation-of-long-term-performance-degradation-factors-of-photovoltaic-modules-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-comparative-investigation-of-long-term-performance-degradation-factors-of-photovoltaic-modules-2/]]></link>
			<title>A Comparative Investigation of Long-Term Performance Degradation Factors of Photovoltaic Modules</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:24:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-analysis-of-a-multi-stage-high-power-converter-for-wireless-electric-vehicle-charging-toward-sustainable-transportation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-analysis-of-a-multi-stage-high-power-converter-for-wireless-electric-vehicle-charging-toward-sustainable-transportation/]]></link>
			<title>Design and Analysis of a Multi-Stage High-Power Converter for Wireless Electric Vehicle Charging toward Sustainable Transportation</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:23:00 +0000]]></pubDate>
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			<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[Thu, 01 Oct 2026 09:21:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-analysis-of-mobile-phone-chargers-under-different-charging-loads-power-quality-for-sustainable-charging-and-future-prospects/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-analysis-of-mobile-phone-chargers-under-different-charging-loads-power-quality-for-sustainable-charging-and-future-prospects/]]></link>
			<title>Performance Analysis of Mobile Phone Chargers Under Different Charging Loads: Power Quality for Sustainable Charging and Future Prospects</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:19:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-and-degradation-of-advanced-mobile-batteries-future-prospects-for-sustainable-battery-development/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-and-degradation-of-advanced-mobile-batteries-future-prospects-for-sustainable-battery-development/]]></link>
			<title>Performance and Degradation of Advanced Mobile Batteries: Future Prospects for Sustainable Battery Development</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:17:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/electric-vehicle-inverter-topologies-and-total-harmonic-distortion-mitigation-a-comprehensive-study-of-recent-advances-and-future-trends/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/electric-vehicle-inverter-topologies-and-total-harmonic-distortion-mitigation-a-comprehensive-study-of-recent-advances-and-future-trends/]]></link>
			<title>Electric Vehicle Inverter Topologies and Total Harmonic Distortion Mitigation: A Comprehensive Study of Recent Advances and Future Trends</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:15:58 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/enhancing-power-factor-of-ev-chargers-sustainability-future-prospects-using-capacitor-banks-synchronous-condensers/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/enhancing-power-factor-of-ev-chargers-sustainability-future-prospects-using-capacitor-banks-synchronous-condensers/]]></link>
			<title>Enhancing Power Factor of EV Chargers: Sustainability &amp; Future Prospects Using Capacitor Banks &amp; Synchronous Condensers</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:14:35 +0000]]></pubDate>
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					<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[Thu, 01 Oct 2026 09:13:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/coordinated-vehicle-to-grid-control-for-smart-microgrids-a-real-time-soc-aware-strategy-for-frequency-regulation-and-grid-stability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/coordinated-vehicle-to-grid-control-for-smart-microgrids-a-real-time-soc-aware-strategy-for-frequency-regulation-and-grid-stability/]]></link>
			<title>Coordinated Vehicle-to-Grid Control for Smart Microgrids: A Real-Time SOC-Aware Strategy for Frequency Regulation and Grid Stability</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:12:01 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/maximum-power-point-tracking-techniques-for-solar-pv-systems-performance-analysis-of-different-control-strategies/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/maximum-power-point-tracking-techniques-for-solar-pv-systems-performance-analysis-of-different-control-strategies/]]></link>
			<title>Maximum Power Point Tracking Techniques for Solar PV Systems: Performance Analysis of Different Control Strategies</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:10:40 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-inverter-based-rooftop-solar-pv-system-for-inter-building-power-sharing-a-techno-economic-case-study-of-green-university/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-inverter-based-rooftop-solar-pv-system-for-inter-building-power-sharing-a-techno-economic-case-study-of-green-university/]]></link>
			<title>Hybrid Inverter-Based Rooftop Solar PV System for Inter-Building Power Sharing: A Techno-Economic Case Study of Green University</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 09:07:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-meta-ensemble-framework-for-leakage-free-active-tuberculosis-diagnosis-in-high-dimensional-transcriptomics/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-meta-ensemble-framework-for-leakage-free-active-tuberculosis-diagnosis-in-high-dimensional-transcriptomics/]]></link>
			<title>An Explainable Meta-Ensemble Framework for Leakage-Free Active Tuberculosis Diagnosis in High-Dimensional Transcriptomics</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 08:36:42 +0000]]></pubDate>
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			<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[Thu, 01 Oct 2026 08:07:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-domain-invariant-multi-scale-graph-temporal-learning-for-cross-environment-wi-fi-deauthentication-detection-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-domain-invariant-multi-scale-graph-temporal-learning-for-cross-environment-wi-fi-deauthentication-detection-2/]]></link>
			<title>A Domain-Invariant Multi-Scale Graph Temporal Learning for Cross-Environment  Wi-Fi Deauthentication Detection</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 07:41:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/on-device-plant-disease-detection-with-cnn-and-random-forest-ensembles/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/on-device-plant-disease-detection-with-cnn-and-random-forest-ensembles/]]></link>
			<title>On-Device Plant Disease Detection with  CNN and Random Forest Ensembles</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 07:40:26 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-hybrid-cnn-transformer-architecture-for-interpretable-evil-twin-attack-detection-in-wi-fi-networks-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-hybrid-cnn-transformer-architecture-for-interpretable-evil-twin-attack-detection-in-wi-fi-networks-2/]]></link>
			<title>A Lightweight Hybrid CNN-Transformer Architecture for Interpretable Evil Twin Attack Detection in Wi-Fi Networks</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 07:39:01 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-large-scale-performance-evaluation-of-ml-based-and-deep-neural-models-in-evil-twin-attack-identification-using-a-hybrid-ieee-802-11-dataset/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-large-scale-performance-evaluation-of-ml-based-and-deep-neural-models-in-evil-twin-attack-identification-using-a-hybrid-ieee-802-11-dataset/]]></link>
			<title>A Large-Scale Performance Evaluation of ML-Based and Deep-Neural Models in Evil Twin Attack Identification Using a Hybrid IEEE 802.11 Dataset</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 07:34:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-consumption-and-e-waste-reduction-an-analysis-of-the-jargon-barrier-in-consumer-electronics-readability-for-right-to-repair-practices/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-consumption-and-e-waste-reduction-an-analysis-of-the-jargon-barrier-in-consumer-electronics-readability-for-right-to-repair-practices/]]></link>
			<title>Sustainable Consumption and E-Waste Reduction: An Analysis of the Jargon Barrier in Consumer Electronics Readability for Right-to-Repair Practices</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 06:34:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/environmental-sustainability-and-energy-awareness-among-university-students-in-bangladesh-an-empirical-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/environmental-sustainability-and-energy-awareness-among-university-students-in-bangladesh-an-empirical-study/]]></link>
			<title>Environmental Sustainability and Energy Awareness among University Students in Bangladesh: An Empirical Study</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 06:32:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tcnlightgbm-a-hybrid-deep-learning-gradient-boosting-architecture-for-interpretable-short-term-electricity-demand-forecasting-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tcnlightgbm-a-hybrid-deep-learning-gradient-boosting-architecture-for-interpretable-short-term-electricity-demand-forecasting-in-bangladesh/]]></link>
			<title>TCN+LightGBM: A Hybrid Deep Learning–Gradient Boosting Architecture for Interpretable Short-Term Electricity Demand Forecasting in Bangladesh</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 05:22:12 +0000]]></pubDate>
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			<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[Thu, 01 Oct 2026 04:17:04 +0000]]></pubDate>
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			<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[Thu, 01 Oct 2026 04:02:57 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-terms-conditions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-terms-conditions/]]></link>
			<title>NPS Terms Conditions</title>
			<pubDate><![CDATA[Thu, 01 Oct 2026 03:25:46 +0000]]></pubDate>
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			<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[Thu, 01 Oct 2026 02:22:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/packages/]]></guid>
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			<title>Packages</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 19:52:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-assisted-confinement-loss-prediction-for-a-highly-sensitive-pcf-spr-sensor/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-assisted-confinement-loss-prediction-for-a-highly-sensitive-pcf-spr-sensor/]]></link>
			<title>Machine Learning-Assisted Confinement Loss Prediction for a Highly Sensitive PCF-SPR Sensor</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:54:53 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/who-did-the-thinking-a-cognitive-control-conceptual-framework-for-student-genai-interaction-in-assessed-ict-tasks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/who-did-the-thinking-a-cognitive-control-conceptual-framework-for-student-genai-interaction-in-assessed-ict-tasks/]]></link>
			<title>Who did the Thinking? A cognitive-control conceptual framework for student-GenAI interaction in assessed ICT tasks</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:53:15 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-whole-slice-comparing-encoder-families-and-patch-based-pipelines-for-pancreas-segmentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-whole-slice-comparing-encoder-families-and-patch-based-pipelines-for-pancreas-segmentation/]]></link>
			<title>Beyond Whole-Slice: Comparing Encoder Families and Patch-Based Pipelines for Pancreas Segmentation</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:49:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pathways-to-environmental-sustainability-how-green-ambidexterity-and-green-hrm-flexibility-shape-the-leather-goods-and-footwear-sector-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pathways-to-environmental-sustainability-how-green-ambidexterity-and-green-hrm-flexibility-shape-the-leather-goods-and-footwear-sector-in-bangladesh/]]></link>
			<title>Pathways to Environmental Sustainability: How Green Ambidexterity and Green HRM Flexibility Shape the Leather Goods and Footwear Sector in Bangladesh</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:32:50 +0000]]></pubDate>
		</item>
					<item>
			<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[Wed, 30 Sep 2026 18:11:52 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-extended-kalman-filtering-with-lstm-based-signal-quality-assessment-for-gnss-precise-point-positioning-2/]]></guid>
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			<title>Adaptive Extended Kalman Filtering with LSTM-Based Signal Quality Assessment for GNSS Precise Point Positioning</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:11:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-eeg-based-schizophrenia-detection-by-a-feature-extraction-and-machine-learning-algorithm-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-eeg-based-schizophrenia-detection-by-a-feature-extraction-and-machine-learning-algorithm-2/]]></link>
			<title>Automated EEG-Based Schizophrenia Detection by a Feature Extraction and Machine Learning Algorithm</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:11:02 +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[Wed, 30 Sep 2026 18:10:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-simulation-based-machine-learning-framework-for-quantum-noise-channel-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-simulation-based-machine-learning-framework-for-quantum-noise-channel-classification/]]></link>
			<title>A Simulation-Based Machine Learning Framework for Quantum Noise-Channel Classification</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:08:24 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study/]]></link>
			<title>Medprice-XAI-BD: A Kind of Explainable &amp; Uncertainty Mindful Machine Learning Framework, for Medicine Price Prediction in Bangladesh</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 18:05:05 +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[Wed, 30 Sep 2026 08:58:36 +0000]]></pubDate>
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