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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/development-of-a-piezoresistive-e-textile-sock-for-in-situ-dynamic-plantar-pressure-assessment-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-a-piezoresistive-e-textile-sock-for-in-situ-dynamic-plantar-pressure-assessment-3/]]></link>
			<title>Development of a Piezoresistive E-Textile Sock for In Situ Dynamic Plantar Pressure Assessment</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 17:02:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-risk-detection-in-blockchain-smart-contracts-using-natural-language-processing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-risk-detection-in-blockchain-smart-contracts-using-natural-language-processing/]]></link>
			<title>Explainable Risk Detection in Blockchain Smart Contracts Using Natural Language Processing</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 16:04:14 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglaclr-structure-aware-contrastive-representation-learning-for-bengali-character-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglaclr-structure-aware-contrastive-representation-learning-for-bengali-character-recognition/]]></link>
			<title>BanglaCLR: Structure-Aware Contrastive Representation Learning for Bengali Character Recognition</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 15:51:43 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/economic-prospects-and-challenges-of-solar-energy-adoption-in-bangladeshi-households/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/economic-prospects-and-challenges-of-solar-energy-adoption-in-bangladeshi-households/]]></link>
			<title>Economic Prospects and Challenges of Solar Energy Adoption in Bangladeshi Households</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 13:15:40 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rethinking-long-term-evolution-throughput-prediction-from-passive-drive-tests-target-semantics-and-dependence-aware-validation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rethinking-long-term-evolution-throughput-prediction-from-passive-drive-tests-target-semantics-and-dependence-aware-validation/]]></link>
			<title>Rethinking Long-Term Evolution Throughput Prediction from Passive Drive Tests: Target Semantics and Dependence-Aware Validation</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 13:05:34 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fine-grained-bangla-toxic-comment-classification-a-comparative-study-of-machine-learning-deep-learning-and-transformer-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fine-grained-bangla-toxic-comment-classification-a-comparative-study-of-machine-learning-deep-learning-and-transformer-models/]]></link>
			<title>Fine-Grained Bangla Toxic Comment Classification: A Comparative Study of Machine Learning, Deep Learning and Transformer Models</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 11:47:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/understanding-how-generative-ai-can-encourage-self-directed-learning-the-roles-of-perceived-self-efficacy-and-learning-motivation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/understanding-how-generative-ai-can-encourage-self-directed-learning-the-roles-of-perceived-self-efficacy-and-learning-motivation/]]></link>
			<title>Understanding How Generative AI Can Encourage Self-Directed Learning: The Roles of Perceived Self-Efficacy and Learning Motivation</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 10:31:30 +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, 06 Oct 2026 10:24:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spearxai-org-target-context-aware-benchmark-and-explainable-hybrid-reference-framework-for-llm-assisted-spear-phishing-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spearxai-org-target-context-aware-benchmark-and-explainable-hybrid-reference-framework-for-llm-assisted-spear-phishing-detection/]]></link>
			<title>SpearXAI-Org: Target-Context-Aware Benchmark and Explainable Hybrid Reference Framework for LLM-Assisted Spear-Phishing Detection</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 10:01:33 +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[Tue, 06 Oct 2026 09:11:52 +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[Tue, 06 Oct 2026 09:09:22 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seeing-beyond-the-fake-detecting-deepfakes-using-deep-learning-based-computer-vision/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seeing-beyond-the-fake-detecting-deepfakes-using-deep-learning-based-computer-vision/]]></link>
			<title>Seeing Beyond the Fake: Detecting Deepfakes Using Deep Learning-Based Computer Vision</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 08:14:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lightweight-and-explainable-ai-driven-intrusion-detection-for-iot-networks-a-resource-efficient-machine-learning-framework-with-shap-based-interpretation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lightweight-and-explainable-ai-driven-intrusion-detection-for-iot-networks-a-resource-efficient-machine-learning-framework-with-shap-based-interpretation/]]></link>
			<title>Lightweight and Explainable AI-Driven Intrusion Detection for IoT Networks: A Resource-Efficient Machine Learning Framework with SHAP-Based Interpretation</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 07:34:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-modified-des-keccak-cryptographic-framework-with-dynamic-s-box-design-for-secure-data-confidentiality-and-integrity-verification-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-modified-des-keccak-cryptographic-framework-with-dynamic-s-box-design-for-secure-data-confidentiality-and-integrity-verification-2/]]></link>
			<title>A Hybrid Modified DES–Keccak Cryptographic Framework with Dynamic S-Box Design for Secure Data Confidentiality and Integrity Verification</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 07:30:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interpretable-student-academic-performance-analysis-using-hybrid-feature-selection-and-explainable-artificial-intelligence-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interpretable-student-academic-performance-analysis-using-hybrid-feature-selection-and-explainable-artificial-intelligence-2/]]></link>
			<title>Interpretable Student Academic Performance Analysis Using Hybrid Feature Selection and Explainable Artificial Intelligence</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 07:03:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ee-mpoxlitenet-an-edge-enhanced-lightweight-and-explainable-deep-learning-framework-for-monkeypox-skin-lesion-screening/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ee-mpoxlitenet-an-edge-enhanced-lightweight-and-explainable-deep-learning-framework-for-monkeypox-skin-lesion-screening/]]></link>
			<title>EE-MpoxLiteNet: An Edge-Enhanced Lightweight and Explainable Deep Learning Framework for Monkeypox Skin Lesion Screening</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 06:38:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/enhanced-dental-caries-localization-in-intraoral-photographs-through-hierarchical-feature-learning-and-multi-scale-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/enhanced-dental-caries-localization-in-intraoral-photographs-through-hierarchical-feature-learning-and-multi-scale-fusion/]]></link>
			<title>Enhanced Dental Caries Localization in Intraoral Photographs Through Hierarchical Feature Learning and Multi-Scale Fusion</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 05:34:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hmsga-net-multi-scale-gated-attention-with-dual-convnext-ensembling-for-glaucoma-classification-from-fundus-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hmsga-net-multi-scale-gated-attention-with-dual-convnext-ensembling-for-glaucoma-classification-from-fundus-images-2/]]></link>
			<title>HMSGA-Net: Multi-Scale Gated Attention with Dual ConvNeXt Ensembling for Glaucoma Classification from Fundus Images</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 05:26:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/asd-predict-a-multi-class-explainable-autism-disorder-severity-prediction-using-lightgbm-and-smote-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/asd-predict-a-multi-class-explainable-autism-disorder-severity-prediction-using-lightgbm-and-smote-3/]]></link>
			<title>ASD-Predict: A Multi-class Explainable Autism Disorder Severity Prediction Using LightGBM and SMOTE</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 05:11:05 +0000]]></pubDate>
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			<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[Tue, 06 Oct 2026 05:06:25 +0000]]></pubDate>
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			<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[Tue, 06 Oct 2026 04:55:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-dual-backbone-hybrid-deep-learning-framework-with-squeeze-and-excitation-attention-and-grad-cam-explainability-for-multi-class-brain-tumor-mri-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-dual-backbone-hybrid-deep-learning-framework-with-squeeze-and-excitation-attention-and-grad-cam-explainability-for-multi-class-brain-tumor-mri-classification/]]></link>
			<title>A Dual-Backbone Hybrid Deep Learning Framework with Squeeze-and-Excitation Attention and Grad-CAM Explainability for Multi-Class Brain Tumor MRI Classification</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 04:43:50 +0000]]></pubDate>
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			<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[Tue, 06 Oct 2026 04:32:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/international-equity-markets-market-integration-financial-contagion-volatility-correlation-analysis-risk-adjusted-return-stationarity-jarque-bera-test-augmented-dickey-fuller/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/international-equity-markets-market-integration-financial-contagion-volatility-correlation-analysis-risk-adjusted-return-stationarity-jarque-bera-test-augmented-dickey-fuller/]]></link>
			<title>international equity markets, market integration, financial contagion, volatility, correlation analysis,  risk-adjusted return, stationarity, Jarque–Bera test, Augmented Dickey–Fuller test.</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 04:20:22 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/do-macroeconomic-predictors-improve-bangladesh-inflation-forecasts-a-leakage-safe-econometric-and-machine-learning-evaluation-2010-2025-abstract-this-study-evaluates-whether-lagged-macroeconomic-in/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/do-macroeconomic-predictors-improve-bangladesh-inflation-forecasts-a-leakage-safe-econometric-and-machine-learning-evaluation-2010-2025-abstract-this-study-evaluates-whether-lagged-macroeconomic-in/]]></link>
			<title>Do Macroeconomic Predictors Improve Bangladesh Inflation Forecasts? A Leakage-Safe Econometric and Machine-Learning Evaluation, 2010-2025 Abstract- This study evaluates whether lagged macroeconomic indicators improve</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 04:12:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-market-performance-risk-and-integration-dynamics-of-world-equity-indices-a-seven-year-empirical-analysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-market-performance-risk-and-integration-dynamics-of-world-equity-indices-a-seven-year-empirical-analysis/]]></link>
			<title>Cross-Market Performance, Risk, and Integration Dynamics of World  Equity Indices: A Seven-Year Empirical Analysis</title>
			<pubDate><![CDATA[Tue, 06 Oct 2026 04:00:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unsupervised-eeg-based-subgroup-discovery-in-alzheimers-disease-using-spectral-and-temporal-features-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unsupervised-eeg-based-subgroup-discovery-in-alzheimers-disease-using-spectral-and-temporal-features-2/]]></link>
			<title>Unsupervised EEG-Based Subgroup Discovery in Alzheimer’s Disease Using Spectral and Temporal Features</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 21:25:40 +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[Mon, 05 Oct 2026 19:13:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/granular-and-gender-focused-analysis-and-visualization-of-academic-research-and-collaboration-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/granular-and-gender-focused-analysis-and-visualization-of-academic-research-and-collaboration-in-bangladesh/]]></link>
			<title>A Gender-focused Multi-level Data Analysis and Visualization of Academic Research and Collaboration in Bangladesh</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 16:31:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-two-stage-global-scan-fuzzy-logic-mppt-for-grid-connected-pv-systems-under-partial-shading-conditions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-two-stage-global-scan-fuzzy-logic-mppt-for-grid-connected-pv-systems-under-partial-shading-conditions/]]></link>
			<title>A Two-Stage Global-Scan Fuzzy Logic MPPT for Grid-Connected PV Systems  Under Partial Shading Conditions</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 11:34:50 +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[Mon, 05 Oct 2026 11:15:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-hybrid-deep-learning-framework-for-retinal-disease-classification-using-densenet201-and-shap-optimized-xlstm/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-hybrid-deep-learning-framework-for-retinal-disease-classification-using-densenet201-and-shap-optimized-xlstm/]]></link>
			<title>An Explainable Hybrid Deep Learning Framework for Retinal Disease Classification Using DenseNet201 and SHAP-Optimized xLSTM</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 11:06:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-guided-particle-swarm-optimisation-for-multi-objective-indoor-access-point-placement/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-guided-particle-swarm-optimisation-for-multi-objective-indoor-access-point-placement/]]></link>
			<title>Deep-Learning-Guided Particle Swarm Optimisation for Multi-Objective Indoor Access Point Placement</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 09:51:23 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/elevating-skin-cancer-diagnosis-a-study-of-various-machine-learning-approaches/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/elevating-skin-cancer-diagnosis-a-study-of-various-machine-learning-approaches/]]></link>
			<title>Elevating Skin Cancer Diagnosis: A Study of Various  Machine Learning Approaches</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 07:29:47 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglasentiemo-cross-task-affective-structure-from-a-shared-banglabert-encoder-for-joint-sentiment-emotion-classification-in-bengali-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglasentiemo-cross-task-affective-structure-from-a-shared-banglabert-encoder-for-joint-sentiment-emotion-classification-in-bengali-2/]]></link>
			<title>BanglaSentiEmo: Cross-Task Affective Structure from a Shared BanglaBERT Encoder for Joint Sentiment-Emotion Classification in Bengali</title>
			<pubDate><![CDATA[Mon, 05 Oct 2026 07:02:19 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/picture-fuzzy-aggregating-operators-in-soft-computing/]]></guid>
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			<pubDate><![CDATA[Mon, 05 Oct 2026 04:47:25 +0000]]></pubDate>
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