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		<title>NPS Australia Submission System</title>
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		<description><![CDATA[NPS Australia Submission System]]></description>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-super-convergent-knowledge-distillation-framework-for-domain-specific-text-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-super-convergent-knowledge-distillation-framework-for-domain-specific-text-classification/]]></link>
			<title>A Super-Convergent Knowledge Distillation Framework for Domain-Specific Text Classification</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:34:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-based-framework-for-cardiovascular-disease-detection-and-risk-prediction-using-machine-learning-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ai-based-framework-for-cardiovascular-disease-detection-and-risk-prediction-using-machine-learning-2/]]></link>
			<title>An Explainable AI-Based Framework for Cardiovascular Disease Detection and Risk Prediction Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:27:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-aware-ordinal-machine-learning-and-explainable-ai-framework-for-hidden-replication-label-ambiguity-and-performance-inflation-in-maternal-health-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-aware-ordinal-machine-learning-and-explainable-ai-framework-for-hidden-replication-label-ambiguity-and-performance-inflation-in-maternal-health-risk-prediction/]]></link>
			<title>A Leakage-Aware Ordinal Machine Learning and Explainable AI Framework for Hidden Replication, Label Ambiguity, and Performance Inflation in Maternal Health Risk Prediction</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:25:37 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/scaps-1d-modeling-and-multi-parameter-optimization-of-a-cabtse-masni3-doubleabsorber-lead-free-solar-cell/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/scaps-1d-modeling-and-multi-parameter-optimization-of-a-cabtse-masni3-doubleabsorber-lead-free-solar-cell/]]></link>
			<title>SCAPS-1D Modeling and Multi-Parameter Optimization of a CABTSe/MASnI3 DoubleAbsorber Lead-Free Solar Cell</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:22:09 +0000]]></pubDate>
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					<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[Sat, 31 Oct 2026 07:19:59 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/esp32-based-smart-fire-and-gas-hazard-detection-with-multi-channel-alert-mechanisms-for-high-risk-urban-buildings/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/esp32-based-smart-fire-and-gas-hazard-detection-with-multi-channel-alert-mechanisms-for-high-risk-urban-buildings/]]></link>
			<title>ESP32-Based Smart Fire and Gas Hazard Detection with Multi-Channel Alert Mechanisms for High-Risk Urban Buildings</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:01:03 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/policy-driven-deep-learning-framework-for-facial-age-verification-in-senior-citizen-welfare-programs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/policy-driven-deep-learning-framework-for-facial-age-verification-in-senior-citizen-welfare-programs/]]></link>
			<title>Policy-Driven Deep Learning Framework for Facial Age Verification in Senior Citizen Welfare Programs</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 06:57:27 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/serial-rag-engine-for-memory-efficient-offline-math-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/serial-rag-engine-for-memory-efficient-offline-math-learning/]]></link>
			<title>Serial RAG Engine for Memory-Efficient Offline Math Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 06:55:21 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 31 Oct 2026 06:54:29 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 31 Oct 2026 06:53:19 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 31 Oct 2026 06:52:23 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 31 Oct 2026 06:51:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/comparative-techno-economic-analysis-of-si-gaas-and-ingan-thin-film-solar-cells-under-bangladeshs-climatic-conditions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/comparative-techno-economic-analysis-of-si-gaas-and-ingan-thin-film-solar-cells-under-bangladeshs-climatic-conditions/]]></link>
			<title>Comparative Techno-Economic Analysis of Si, GaAs, and InGaN Thin-Film Solar Cells under Bangladesh’s Climatic Conditions</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 06:48:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/test-paper-by-rashed/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/test-paper-by-rashed/]]></link>
			<title>Test Paper by Rashed</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 06:47:13 +0000]]></pubDate>
		</item>
					<item>
			<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[Sat, 31 Oct 2026 06:41:01 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/universe-analytics-a-dynamic-university-ranking-platform-through-real-time-interactive-analysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/universe-analytics-a-dynamic-university-ranking-platform-through-real-time-interactive-analysis/]]></link>
			<title>Universe Analytics: A Dynamic University Ranking Platform Through Real-Time Interactive Analysis</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 06:33:58 +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[Sat, 31 Oct 2026 06:26:16 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fedpdm-privacy-preserving-federated-learning-for-remaining-useful-life-prediction-across-heterogeneous-industrial-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fedpdm-privacy-preserving-federated-learning-for-remaining-useful-life-prediction-across-heterogeneous-industrial-systems/]]></link>
			<title>FedPdM: Privacy-Preserving Federated Learning for Remaining Useful Life Prediction Across Heterogeneous Industrial Systems</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 06:11:30 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-dual-branch-framework-for-livestock-disease-screening-using-multi-repository-visual-datasets-and-symptom-based-intelligence/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-dual-branch-framework-for-livestock-disease-screening-using-multi-repository-visual-datasets-and-symptom-based-intelligence/]]></link>
			<title>A Dual-Branch Framework for Livestock Disease Screening Using Multi-Repository Visual Datasets and Symptom-Based Intelligence</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 05:57:44 +0000]]></pubDate>
		</item>
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			<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[Sat, 31 Oct 2026 05:48:32 +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[Sat, 31 Oct 2026 05:29:20 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/water-quality-and-environment-suitability-feedback-system-for-local-fish-farming-a-fuzzy-logic-based-approach/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/water-quality-and-environment-suitability-feedback-system-for-local-fish-farming-a-fuzzy-logic-based-approach/]]></link>
			<title>Water Quality and Environment Suitability Feedback System for Local Fish Farming: A Fuzzy Logic-Based Approach</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 03:23:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/computer-vision-based-soil-health-analysis-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/computer-vision-based-soil-health-analysis-using-machine-learning/]]></link>
			<title>Computer Vision-based Soil Health Analysis using Machine Learning</title>
			<pubDate><![CDATA[Fri, 30 Oct 2026 17:38:27 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/brixnet-efficient-depthwise-separable-cnn-for-lightweight-brain-stroke-classification-from-ct-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/brixnet-efficient-depthwise-separable-cnn-for-lightweight-brain-stroke-classification-from-ct-images/]]></link>
			<title>BriXNet: Efficient Depthwise-Separable CNN for Lightweight Brain Stroke Classification from CT Images</title>
			<pubDate><![CDATA[Fri, 30 Oct 2026 17:33:58 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/chi-square-feature-selection-and-smote-balanced-ensemble-learning-for-explainable-cervical-cancer-risk-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/chi-square-feature-selection-and-smote-balanced-ensemble-learning-for-explainable-cervical-cancer-risk-prediction/]]></link>
			<title>Chi-Square Feature Selection and SMOTE-Balanced Ensemble Learning for Explainable Cervical Cancer Risk Prediction</title>
			<pubDate><![CDATA[Fri, 30 Oct 2026 17:15:22 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-optimizing-mac-protocol-for-wbans-managing-multi-class-and-multi-load-in-ieee-802-15-6-superframes-using-hysteretic-q-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-optimizing-mac-protocol-for-wbans-managing-multi-class-and-multi-load-in-ieee-802-15-6-superframes-using-hysteretic-q-learning/]]></link>
			<title>An Optimizing MAC Protocol for WBANs Managing Multi-class and Multi-load in IEEE 802.15.6 Superframes Using Hysteretic Q-learning</title>
			<pubDate><![CDATA[Fri, 30 Oct 2026 16:59:55 +0000]]></pubDate>
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			<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, 30 Oct 2026 15:30:53 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hemavision-efficientnetv2-and-cbam-based-explainable-ai-for-morphological-white-blood-cell-classification-and-clinical-decision-support/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hemavision-efficientnetv2-and-cbam-based-explainable-ai-for-morphological-white-blood-cell-classification-and-clinical-decision-support/]]></link>
			<title>HemaVision: EfficientNetV2 and CBAM-Based Explainable AI for Morphological White Blood Cell Classification and Clinical decision Support</title>
			<pubDate><![CDATA[Fri, 30 Oct 2026 07:41:35 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rule-augmented-stacked-ensemble-framework-for-market-basket-completion-with-leak-free-customer-history/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-rule-augmented-stacked-ensemble-framework-for-market-basket-completion-with-leak-free-customer-history/]]></link>
			<title>A Hybrid Rule-Augmented Stacked Ensemble Framework for Market Basket Completion with Leak-Free Customer History</title>
			<pubDate><![CDATA[Thu, 29 Oct 2026 17:43:50 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-source-grounded-multimodal-edge-agent-framework-for-inclusive-digital-service-access-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-source-grounded-multimodal-edge-agent-framework-for-inclusive-digital-service-access-in-bangladesh/]]></link>
			<title>A Source-Grounded Multimodal Edge-Agent Framework for Inclusive Digital Service Access in Bangladesh</title>
			<pubDate><![CDATA[Thu, 29 Oct 2026 11:11:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/n-o-r-a-a-multimodal-edge-ai-framework-for-offline-context-aware-intelligent-assistance/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/n-o-r-a-a-multimodal-edge-ai-framework-for-offline-context-aware-intelligent-assistance/]]></link>
			<title>NORA: A Multimodal Edge-AI Framework for Offline Context-Aware Intelligent Assistance</title>
			<pubDate><![CDATA[Thu, 29 Oct 2026 10:57:26 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-for-iomt-intrusion-detection-a-comparative-benchmark-of-pyspark-and-scikit-learn/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-for-iomt-intrusion-detection-a-comparative-benchmark-of-pyspark-and-scikit-learn/]]></link>
			<title>Explainable Machine Learning for IoMT Intrusion Detection: A Comparative Benchmark of PySpark and Scikit-learn</title>
			<pubDate><![CDATA[Thu, 29 Oct 2026 09:28:53 +0000]]></pubDate>
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			<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[Thu, 29 Oct 2026 08:57:25 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crime-prediction-using-improved-hybrid-models-machine-learning-algorithm/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crime-prediction-using-improved-hybrid-models-machine-learning-algorithm/]]></link>
			<title>Crime Prediction Using Improved Hybrid Models Machine Learning Algorithm</title>
			<pubDate><![CDATA[Thu, 29 Oct 2026 07:38:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/package/bangladeshi-participant/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/package/bangladeshi-participant/]]></link>
			<title>Bangladeshi Participant</title>
			<pubDate><![CDATA[Wed, 28 Oct 2026 12:44:18 +0000]]></pubDate>
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					<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, 28 Oct 2026 09:34:47 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reducing-perishable-food-loss-through-forecast-driven-stochastic-capacity-planning-quantifying-value-scalability-and-transfer-under-supply-side-uncertainty/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reducing-perishable-food-loss-through-forecast-driven-stochastic-capacity-planning-quantifying-value-scalability-and-transfer-under-supply-side-uncertainty/]]></link>
			<title>Reducing Perishable Food Loss Through Forecast-Driven Stochastic Capacity Planning: Quantifying Value, Scalability, and Transfer Under Supply-Side Uncertainty</title>
			<pubDate><![CDATA[Tue, 27 Oct 2026 20:27:34 +0000]]></pubDate>
		</item>
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			<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, 27 Oct 2026 16:41:56 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/the-mediating-role-of-perceived-dealer-pricing-fairness-in-the-relationship-between-technology-readiness-and-solar-home-system-adoption-evidence-from-rural-communities/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/the-mediating-role-of-perceived-dealer-pricing-fairness-in-the-relationship-between-technology-readiness-and-solar-home-system-adoption-evidence-from-rural-communities/]]></link>
			<title>The Mediating Role of Perceived Dealer Pricing Fairness in the Relationship Between Technology Readiness and Solar Home System Adoption: Evidence from Rural Communities</title>
			<pubDate><![CDATA[Tue, 27 Oct 2026 14:32:46 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-visibility-to-action-a-multimodal-content-analysis-of-digital-sustainability-communication-in-bangladeshi-universities/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-visibility-to-action-a-multimodal-content-analysis-of-digital-sustainability-communication-in-bangladeshi-universities/]]></link>
			<title>From Visibility to Action: A Multimodal Content Analysis of Digital Sustainability Communication in Bangladeshi Universities</title>
			<pubDate><![CDATA[Tue, 27 Oct 2026 09:57:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-humor-hides-harm-a-fusion-based-approach-to-decoding-sentiment-in-bengali-memes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-humor-hides-harm-a-fusion-based-approach-to-decoding-sentiment-in-bengali-memes/]]></link>
			<title>When Humor Hides Harm: A Fusion-Based Approach to Decoding Sentiment in Bengali Memes</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 18:20:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-driven-single-cell-rna-seq-analysis-for-cell-classification-feature-discovery-and-functional-annotation-in-glioblastoma/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-driven-single-cell-rna-seq-analysis-for-cell-classification-feature-discovery-and-functional-annotation-in-glioblastoma/]]></link>
			<title>Machine Learning–Driven Single-Cell RNA-Seq Analysis for Cell Classification, Feature Discovery, and Functional Annotation in Glioblastoma</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 16:42:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/gan-driven-synthetic-financial-data-generation-ensuring-privacy-and-statistical-fidelity-for-fraud-detection-and-ai-applications/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/gan-driven-synthetic-financial-data-generation-ensuring-privacy-and-statistical-fidelity-for-fraud-detection-and-ai-applications/]]></link>
			<title>GAN-Driven Synthetic Financial Data Generation: Ensuring Privacy and Statistical Fidelity for Fraud Detection and AI Applications</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 09:32:15 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-balanced-benchmarks-calibration-uncertainty-and-deployment-aware-evaluation-of-prompt-injection-detectors-under-source-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-balanced-benchmarks-calibration-uncertainty-and-deployment-aware-evaluation-of-prompt-injection-detectors-under-source-shift/]]></link>
			<title>Beyond Balanced Benchmarks: Calibration, Uncertainty, and Deployment-Aware Evaluation of Prompt-Injection Detectors under Source Shift</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 09:21:48 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/esg-and-investment-decisions-the-moderating-role-of-risk-tolerance-among-individual-investors-in-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/esg-and-investment-decisions-the-moderating-role-of-risk-tolerance-among-individual-investors-in-bangladesh-2/]]></link>
			<title>ESG and Investment Decisions: The Moderating Role of Risk Tolerance among Individual Investors in Bangladesh</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 08:10:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/impact-of-unemployment-inflation-renewable-energy-consumption-and-personal-remittances-on-sustainable-economic-growth-in-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/impact-of-unemployment-inflation-renewable-energy-consumption-and-personal-remittances-on-sustainable-economic-growth-in-bangladesh-2/]]></link>
			<title>Impact of Unemployment, Inflation, Renewable Energy Consumption, and Personal Remittances on Sustainable Economic Growth in Bangladesh</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 07:52:30 +0000]]></pubDate>
		</item>
					<item>
			<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[Mon, 26 Oct 2026 05:15:46 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-multi-backbone-deep-learning-framework-with-learnable-attention-fusion-for-explainable-potato-leaf-disease-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-multi-backbone-deep-learning-framework-with-learnable-attention-fusion-for-explainable-potato-leaf-disease-detection/]]></link>
			<title>A Hybrid Multi-Backbone Deep Learning Framework with Learnable Attention Fusion for Explainable Potato Leaf Disease Detection</title>
			<pubDate><![CDATA[Mon, 26 Oct 2026 04:12:02 +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[Mon, 26 Oct 2026 04:06:49 +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[Mon, 26 Oct 2026 04:02:36 +0000]]></pubDate>
		</item>
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