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		<title>NPS Australia Submission System</title>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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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[Tue, 01 Sep 2026 15:26:26 +0000]]></pubDate>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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			<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>
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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[Tue, 01 Sep 2026 04:56:42 +0000]]></pubDate>
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			<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>
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			<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>
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			<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>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/supercapacitor-based-energy-storage-for-residential-pv-applications-a-quantitative-comparative-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/supercapacitor-based-energy-storage-for-residential-pv-applications-a-quantitative-comparative-study/]]></link>
			<title>Supercapacitor-Based Energy Storage for Residential PV Applications: A Quantitative Comparative Study</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:33:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/towards-interpretable-legendary-pokemon-classification-a-comparative-evaluation-of-machine-learning-models-and-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/towards-interpretable-legendary-pokemon-classification-a-comparative-evaluation-of-machine-learning-models-and-explainable-ai/]]></link>
			<title>Towards Interpretable Legendary Pokémon Classification: A Comparative Evaluation of Machine Learning Models and Explainable AI</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:32:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-class-wise-error-and-misclassification-analysis-of-deep-learning-models-for-industrial-iot-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-class-wise-error-and-misclassification-analysis-of-deep-learning-models-for-industrial-iot-intrusion-detection/]]></link>
			<title>A Class-Wise Error and Misclassification Analysis of Deep Learning Models for Industrial IoT Intrusion Detection</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:31:46 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/binary-and-multiclass-intrusion-detection-in-iomt-networks-comparative-machine-learning-with-mcnemar-testing-and-xai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/binary-and-multiclass-intrusion-detection-in-iomt-networks-comparative-machine-learning-with-mcnemar-testing-and-xai/]]></link>
			<title>Binary and Multiclass Intrusion Detection in IoMT Networks: Comparative Machine Learning with McNemar Testing and XAI</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:31:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/belief-state-q-learning-for-dynamic-channel-selection-in-cognitive-radio-networks-a-simulation-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/belief-state-q-learning-for-dynamic-channel-selection-in-cognitive-radio-networks-a-simulation-study/]]></link>
			<title>Belief-State Q-Learning for Dynamic Channel Selection in Cognitive Radio Networks: A Simulation Study</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:30:25 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cnn-based-automatic-modulation-classification-for-cognitive-radio-benchmarking-against-fourth-order-cumulant-feature-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cnn-based-automatic-modulation-classification-for-cognitive-radio-benchmarking-against-fourth-order-cumulant-feature-classification/]]></link>
			<title>CNN-Based Automatic Modulation Classification for Cognitive Radio: Benchmarking Against Fourth- Order-Cumulant Feature Classification</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:29:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/empirical-assessment-of-css-techniques-efficiency-reliability-and-throughput-trade-offs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/empirical-assessment-of-css-techniques-efficiency-reliability-and-throughput-trade-offs/]]></link>
			<title>Empirical Assessment of CSS Techniques: Efficiency, Reliability, and Throughput Trade-offs</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:28:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-geospartial-framework-for-monsoon-flood-risk-stratification-in-rohingya-refugee-camps-temporal-spatial-and-external-validation-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-geospartial-framework-for-monsoon-flood-risk-stratification-in-rohingya-refugee-camps-temporal-spatial-and-external-validation-2/]]></link>
			<title>A Lightweight Geospartial Framework for Monsoon Flood Risk Stratification in Rohingya  Refugee Camps: Temporal, Spatial, and External Validation</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:27:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/elevation-thresholds-for-monsoon-flood-risk-stratification-in-rohingya-refugee-camps-a-validated-observational-study-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/elevation-thresholds-for-monsoon-flood-risk-stratification-in-rohingya-refugee-camps-a-validated-observational-study-3/]]></link>
			<title>Elevation Thresholds for Monsoon Flood Risk Stratification in Rohingya Refugee Camps: A Validated Observational Study</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:27:08 +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[Tue, 01 Sep 2026 03:26:05 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-power-supply-for-cellular-base-transceiver-stations-using-solar-pv-battery-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-power-supply-for-cellular-base-transceiver-stations-using-solar-pv-battery-systems/]]></link>
			<title>Sustainable Power Supply for Cellular Base Transceiver Stations Using Solar PV–Battery Systems</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:25:16 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/curvature-regularized-graph-tractography-for-reproducible-multi-site-diffusion-mri-connectomes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/curvature-regularized-graph-tractography-for-reproducible-multi-site-diffusion-mri-connectomes/]]></link>
			<title>Curvature-Regularized Graph Tractography for Reproducible Multi-Site Diffusion MRI Connectomes</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:24:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cqi-prediction-in-5g-networks-using-a-mobility-aware-random-forest-model/]]></guid>
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			<title>CQI Prediction in 5G Networks Using a Mobility-Aware Random Forest Model</title>
			<pubDate><![CDATA[Tue, 01 Sep 2026 03:23:26 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/statistically-validated-benchmarking-of-federated-learning-optimizers-for-binary-intrusion-detection-in-imbalanced-iomt-traffic/]]></guid>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physical-layer-security-analysis-of-ris-assisted-hybrid-fso-rf-networks-for-secure-iot-communications-under-potential-eavesdropping-attacks/]]></guid>
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			<pubDate><![CDATA[Tue, 01 Sep 2026 03:22:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/noise-aware-magnetic-valve-based-voltage-transformer-design-for-reliable-voltage-measurement-2/]]></guid>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-interpretable-deep-learning-framework-for-diabetic-foot-ulcer-classification-using-multi-optimizer-training-and-genetic-algorithm-selection/]]></guid>
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