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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/an-explainable-transfer-learning-framework-for-early-detection-of-diabetic-retinopathy-using-deep-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-transfer-learning-framework-for-early-detection-of-diabetic-retinopathy-using-deep-learning/]]></link>
			<title>An Explainable Transfer Learning Framework for Early Detection of Diabetic Retinopathy Using Deep Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 11:24:40 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ensemble-based-detection-of-global-climate-anomalies-using-surface-temperature-and-co₂-emission-indicators-a-majority-voting-unsupervised-framework-with-shap-interpretability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ensemble-based-detection-of-global-climate-anomalies-using-surface-temperature-and-co₂-emission-indicators-a-majority-voting-unsupervised-framework-with-shap-interpretability/]]></link>
			<title>Ensemble-Based Detection of Global Climate Anomalies Using Surface Temperature and CO₂ Emission Indicators: A Majority-Voting Unsupervised Framework with SHAP Interpretability</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 11:04:40 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/transfer-learning-for-dermatological-image-classification-a-comparative-study-of-adaptation-strategies-under-leakage-aware-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/transfer-learning-for-dermatological-image-classification-a-comparative-study-of-adaptation-strategies-under-leakage-aware-evaluation/]]></link>
			<title>Transfer Learning for Dermatological Image Classification: A Comparative Study of Adaptation Strategies under Leakage-Aware Evaluation</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 11:04:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sector-level-emission-intensity-profiling-of-supply-chains-a-leakage-free-machine-learning-approach-using-structurally-independent-predictors-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sector-level-emission-intensity-profiling-of-supply-chains-a-leakage-free-machine-learning-approach-using-structurally-independent-predictors-2/]]></link>
			<title>Sector-Level Emission Intensity Profiling of Supply Chains: A Leakage-Free Machine Learning Approach Using Structurally Independent Predictors</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 11:03:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-smart-grid-distribution-systems-in-emerging-economies-a-bangladesh-perspective/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/development-of-smart-grid-distribution-systems-in-emerging-economies-a-bangladesh-perspective/]]></link>
			<title>Smart Grid Transformation of Bangladesh Distribution Networks: Current Status, Challenges, and Future Roadmap</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 11:02:32 +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>System-Level Assessment of Supercapacitors in Residential PV Storage: Economics and Hybrid Integration</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 10:58:39 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/global-diabetes-mortality-analysis-a-reproducible-who-data-driven-study-of-trends-regional-disparities-and-prevalence-mortality-relationships-2000-2014-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/global-diabetes-mortality-analysis-a-reproducible-who-data-driven-study-of-trends-regional-disparities-and-prevalence-mortality-relationships-2000-2014-3/]]></link>
			<title>Global Diabetes Mortality Analysis: A Reproducible WHO Data-Driven Study of Trends, Regional Disparities, and Prevalence-Mortality Relationships (2000–2014)</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 10:56:42 +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[Sat, 31 Oct 2026 10:10:00 +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[Sat, 31 Oct 2026 10:00:01 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vehicle-to-grid-for-renewable-energy-integration-in-bangladesh-a-degradation-aware-critical-review-and-future-research-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vehicle-to-grid-for-renewable-energy-integration-in-bangladesh-a-degradation-aware-critical-review-and-future-research-framework/]]></link>
			<title>Vehicle-to-Grid for Renewable Energy Integration in Bangladesh: A Degradation-Aware Critical Review and Future Research Framework</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:50:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/the-miou-headline-flatters-ssl-a-label-efficient-head-to-head-of-four-self-supervised-pretraining-families-on-lung-tumor-ct/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/the-miou-headline-flatters-ssl-a-label-efficient-head-to-head-of-four-self-supervised-pretraining-families-on-lung-tumor-ct/]]></link>
			<title>mIoU Under Scrutiny: Benchmarking Self-Supervised Pretraining for Lung Tumor CT Segmentation</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:43:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-modular-distributed-iot-architecture-for-closed-loop-hydroponic-monitoring-and-control-with-image-based-plant-observation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-modular-distributed-iot-architecture-for-closed-loop-hydroponic-monitoring-and-control-with-image-based-plant-observation/]]></link>
			<title>A Modular Distributed IoT Architecture for Closed-Loop Hydroponic Monitoring and Control with Image-Based Plant Observation</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:31:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bridging-the-gap-use-symbolic-language-as-a-prompt-between-human-emotion-and-machine-logic/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/bridging-the-gap-use-symbolic-language-as-a-prompt-between-human-emotion-and-machine-logic/]]></link>
			<title>Bridging the Gap: Using Symbolic Language as a Prompt Between Human Emotion and Machine Logic*</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:24:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/token-smuggling-and-log-injection-in-open-source-ai-coding-assistants-a-case-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/token-smuggling-and-log-injection-in-open-source-ai-coding-assistants-a-case-study/]]></link>
			<title>Token Smuggling and Log Injection in Open-Source AI Coding Assistants: A Case Study</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:21:48 +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[Sat, 31 Oct 2026 09:17:11 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leveraging-ai-driven-cloud-computing-for-advanced-health-prediction-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leveraging-ai-driven-cloud-computing-for-advanced-health-prediction-models/]]></link>
			<title>Leveraging AI-Driven Cloud Computing for Advanced Health Prediction Models</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:16:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-wearable-framework-for-real-time-harassment-detection-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-wearable-framework-for-real-time-harassment-detection-using-machine-learning/]]></link>
			<title>An Intelligent Wearable Framework for Real-Time Harassment Detection Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:10:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-plant-disease-classification-and-targeted-remedial-strategies-using-few-shot-learning-in-mobile-applications/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-plant-disease-classification-and-targeted-remedial-strategies-using-few-shot-learning-in-mobile-applications/]]></link>
			<title>Real-Time Plant Disease Classification and Targeted Remedial Strategies Using Few-Shot Learning in Mobile Applications</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 09:03:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-phase-wise-machine-learning-based-performance-evaluation-in-flight-simulation-training/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-phase-wise-machine-learning-based-performance-evaluation-in-flight-simulation-training/]]></link>
			<title>A Phase-Wise Machine Learning-based  Performance Evaluation in Flight Simulation  Training</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 08:59:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multimodal-framework-for-bangla-fake-news-classification-through-cross-attention-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multimodal-framework-for-bangla-fake-news-classification-through-cross-attention-fusion/]]></link>
			<title>A Multimodal Framework for Bangla Fake News Classification through Cross-Attention Fusion</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 08:54:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pooled-and-compromised-a-leakage-audit-of-a-popular-mri-benchmark/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pooled-and-compromised-a-leakage-audit-of-a-popular-mri-benchmark/]]></link>
			<title>Pooled and Compromised: A Leakage Audit of a Popular MRI Benchmark</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 08:51:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agrisemnet-a-semantic-aware-hybrid-deep-learning-and-knowledge-graph-architecture-for-precision-crop-recommendation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agrisemnet-a-semantic-aware-hybrid-deep-learning-and-knowledge-graph-architecture-for-precision-crop-recommendation/]]></link>
			<title>AgriSemNet: A Semantic-Aware Hybrid Deep Learning and Knowledge Graph Architecture for Precision Crop Recommendation</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 08:18:23 +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[Sat, 31 Oct 2026 08:10:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rice-leaf-disease-classification-using-fine-tuned-resnet152v2-benchmarking-cnn-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rice-leaf-disease-classification-using-fine-tuned-resnet152v2-benchmarking-cnn-models/]]></link>
			<title>Rice Leaf Disease Classification Using Fine-Tuned ResNet152V2: Benchmarking CNN Models</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 08:05:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/endostack-xai-a-hybrid-and-explainable-machine-learning-framework-for-endometriosis-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/endostack-xai-a-hybrid-and-explainable-machine-learning-framework-for-endometriosis-prediction/]]></link>
			<title>EndoStack-XAI: A Hybrid and Explainable Machine Learning Framework for Endometriosis Prediction</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:51:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/safer-rag-explainable-and-calibrated-hallucination-detection-with-selective-prediction-under-distribution-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/safer-rag-explainable-and-calibrated-hallucination-detection-with-selective-prediction-under-distribution-shift/]]></link>
			<title>SAFER-RAG: Explainable and Calibrated Hallucination Detection with Selective Prediction under Distribution Shift</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:45:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reference-conditioned-healthy-like-eeg-reconstruction-using-movement-aware-cyclegan-for-motor-imagery-bci/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reference-conditioned-healthy-like-eeg-reconstruction-using-movement-aware-cyclegan-for-motor-imagery-bci/]]></link>
			<title>Reference-Conditioned Healthy-Like EEG Reconstruction Using Movement-Aware CycleGAN for Motor Imagery BCI</title>
			<pubDate><![CDATA[Sat, 31 Oct 2026 07:43:58 +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[Sat, 31 Oct 2026 07:39:42 +0000]]></pubDate>
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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 07:35:11 +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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			<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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			<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>
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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>
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			<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>
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			<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>
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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>
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