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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/evaluating-machine-learning-models-for-heart-disease-classification-using-a-hybrid-ensemble-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-machine-learning-models-for-heart-disease-classification-using-a-hybrid-ensemble-framework/]]></link>
			<title>Evaluating Machine Learning Models for Heart Disease  Classification Using a Hybrid Ensemble Framework</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 16:16:11 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/smart-auto-rickshaw-violation-detection-system-a-convergence-of-iot-gps-tracking-rfid-authentication-and-cloud-database/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/smart-auto-rickshaw-violation-detection-system-a-convergence-of-iot-gps-tracking-rfid-authentication-and-cloud-database/]]></link>
			<title>Smart Auto Rickshaw Violation Detection System: A Convergence of IoT, GPS Tracking, RFID Authentication and Cloud Database</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 16:13:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/truecolorpro-a-handy-device-for-color-blind-people-with-iot-devices/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/truecolorpro-a-handy-device-for-color-blind-people-with-iot-devices/]]></link>
			<title>TrueColorPro: A Handy Device for Color Blind People with IoT Devices</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 16:13:14 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-factor-smart-motorcycle-ignition-interlock-with-face-recognition-helmet-verification-and-alcohol-screening/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-factor-smart-motorcycle-ignition-interlock-with-face-recognition-helmet-verification-and-alcohol-screening/]]></link>
			<title>A Multi-Factor Smart Motorcycle Ignition Interlock with Face Recognition, Helmet Verification, and Alcohol Screening</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 16:03:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/assessment-of-urban-evacuation-demand-based-on-population-density-under-seismic-events/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/assessment-of-urban-evacuation-demand-based-on-population-density-under-seismic-events/]]></link>
			<title>Assessment of Urban Evacuation Demand Based on Population Density under Seismic Events</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 16:02:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/firm-specific-determinants-of-environmental-information-disclosure-evidence-from-dse-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/firm-specific-determinants-of-environmental-information-disclosure-evidence-from-dse-2/]]></link>
			<title>Firm-Specific Determinants of Environmental Information Disclosure: Evidence from DSE</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:55:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-free-calibrated-and-explainable-machine-learning-for-heart-disease-screening-from-large-scale-brfss-survey-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-free-calibrated-and-explainable-machine-learning-for-heart-disease-screening-from-large-scale-brfss-survey-data/]]></link>
			<title>Leakage-Free, Calibrated, and Explainable Machine Learning for Heart-Disease Screening from Large-Scale BRFSS Survey Data</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:46:50 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/minimum-detectable-improvement-calibrating-the-noise-floor-of-microarray-cancer-benchmarks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/minimum-detectable-improvement-calibrating-the-noise-floor-of-microarray-cancer-benchmarks/]]></link>
			<title>Minimum Detectable Improvement: Calibrating the Noise Floor of Microarray Cancer Benchmarks</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:44:09 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/greenbangla-a-grid-aware-framework-for-measuring-compression-energy-in-bangla-nlp/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/greenbangla-a-grid-aware-framework-for-measuring-compression-energy-in-bangla-nlp/]]></link>
			<title>GreenBangla: A Grid-Aware Framework for Measuring Compression Energy in Bangla NLP</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:42:20 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/developing-a-financial-innovation-framework-for-sustainable-banking-performance-a-conceptual-model-for-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/developing-a-financial-innovation-framework-for-sustainable-banking-performance-a-conceptual-model-for-bangladesh-2/]]></link>
			<title>Developing a Financial Innovation Framework  for Sustainable Banking Performance: A  Conceptual Model for Bangladesh</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:41:52 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-approach-for-dialect-neutralization-in-bengali-academic-writing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-approach-for-dialect-neutralization-in-bengali-academic-writing/]]></link>
			<title>A Deep Learning Approach for Dialect Neutralization in Bengali Academic Writing</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:23:37 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-scale-cbam-fusion-network-a-lightweight-and-explainable-deep-learning-approach-for-acute-lymphoblastic-leukemia-detection-from-blood-smear-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-scale-cbam-fusion-network-a-lightweight-and-explainable-deep-learning-approach-for-acute-lymphoblastic-leukemia-detection-from-blood-smear-images/]]></link>
			<title>Multi-Scale CBAM Fusion Network: A Lightweight and Explainable Deep Learning Approach for Acute Lymphoblastic Leukemia Detection from Blood Smear Images.</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:21:22 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-approach-for-anemia-detection-using-peripheral-blood-smear-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-approach-for-anemia-detection-using-peripheral-blood-smear-images/]]></link>
			<title>A Deep learning approach for anemia detection using peripheral blood smear images</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:17:11 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/heart-disease-prediction-using-ecg-image-analysis-with-grad-cam-explainability-visualization/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/heart-disease-prediction-using-ecg-image-analysis-with-grad-cam-explainability-visualization/]]></link>
			<title>Heart Disease Prediction using ECG Image Analysis with Grad-CAM Explainability Visualization</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 15:14:24 +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[Sun, 16 Aug 2026 15:13:27 +0000]]></pubDate>
		</item>
					<item>
			<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[Sun, 16 Aug 2026 15:10:42 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-transformer-based-approach-to-understand-and-identify-the-fake-news-in-bangla-media/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-transformer-based-approach-to-understand-and-identify-the-fake-news-in-bangla-media/]]></link>
			<title>A Transformer-Based Approach to Understand and Identify The Fake News In Bangla Media</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:57:26 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-attention-enhanced-model-for-breast-cancer-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-attention-enhanced-model-for-breast-cancer-detection/]]></link>
			<title>An Explainable Attention Enhanced Model for Breast Cancer Detection</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:54:08 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-provenance-based-defenses-against-prompt-injection-in-llm-agents-what-taint-tracking-can-and-cannot-see/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-provenance-based-defenses-against-prompt-injection-in-llm-agents-what-taint-tracking-can-and-cannot-see/]]></link>
			<title>Evaluating Provenance-Based Defenses Against Prompt Injection in LLM Agents: What Taint Tracking Can and Cannot See</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:51:07 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physicsmate-a-curriculum-grounded-bengali-benchmark-for-secondary-physics-qa-with-small-model-adaptation-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physicsmate-a-curriculum-grounded-bengali-benchmark-for-secondary-physics-qa-with-small-model-adaptation-2/]]></link>
			<title>PhysicsMate: A Curriculum-Grounded Bengali Benchmark for Secondary Physics QA with Small-Model Adaptation</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:51:03 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physicsmate-a-curriculum-grounded-bengali-benchmark-for-secondary-physics-qa-with-small-model-adaptation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physicsmate-a-curriculum-grounded-bengali-benchmark-for-secondary-physics-qa-with-small-model-adaptation/]]></link>
			<title>PhysicsMate: A Curriculum-Grounded Bengali Benchmark for Secondary Physics QA with Small-Model Adaptation</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:50:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-district-level-regional-planning-framework-for-ccus-deployment-in-bangladesh-spatial-decision-support-approach/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-district-level-regional-planning-framework-for-ccus-deployment-in-bangladesh-spatial-decision-support-approach/]]></link>
			<title>A District-Level Regional Planning Framework for CCUS Deployment in Bangladesh: Spatial Decision Support Approach</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:48:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-uncertainty-aware-joint-sizing-and-queue-constrained-scheduling-framework-for-solar-assisted-electric-three-wheeler-battery-swapping-stations-a-field-informed-dhaka-case-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-uncertainty-aware-joint-sizing-and-queue-constrained-scheduling-framework-for-solar-assisted-electric-three-wheeler-battery-swapping-stations-a-field-informed-dhaka-case-study/]]></link>
			<title>An Uncertainty-Aware Joint Sizing and Queue-Constrained Scheduling Framework for Solar-Assisted Electric Three-Wheeler Battery-Swapping Stations: A Field-Informed Dhaka Case Study</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:41:41 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/decentralized-mobile-diagnostic-framework-for-dengue-utilizing-heterogeneous-federated-transfer-learning-and-edge-transpilation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/decentralized-mobile-diagnostic-framework-for-dengue-utilizing-heterogeneous-federated-transfer-learning-and-edge-transpilation/]]></link>
			<title>Decentralizing Dengue Diagnostics: Federated Knowledge Distillation Across Heterogeneous Modalities via Edge Transpilation</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:18:42 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-based-ekf-slam-for-differential-drive-mobile-robots-implementation-and-parameter-sensitivity-analysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/feature-based-ekf-slam-for-differential-drive-mobile-robots-implementation-and-parameter-sensitivity-analysis/]]></link>
			<title>Feature-Based EKF-SLAM for Differential-Drive Mobile Robots: Implementation and Parameter Sensitivity Analysis</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:17:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study-2/]]></link>
			<title>The &#8220;Aakash Deep&#8221; Hub: A Sustainable and AI- Driven Li-Fi Framework for the Consumer Market in Bangladesh</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:11:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study-3/]]></link>
			<title>Degradation-Aware V2G Coordination of EV Fleets for Renewable-Smart Distribution Networks: A Bangladesh-Calibrated IEEE 33-Bus Study</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:06:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/degradation-aware-v2g-coordination-of-ev-fleets-for-renewable-smart-distribution-networks-a-bangladesh-calibrated-ieee-33-bus-study/]]></link>
			<title>Medprice-XAI-BD: A Kind of Explainable &amp; Uncertainty Mindful Machine Learning Framework, for Medicine Price Prediction in Bangladesh</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 14:05:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ensemble-machine-learning-models-for-multi-target-nanoparticle-cytotoxicity-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ensemble-machine-learning-models-for-multi-target-nanoparticle-cytotoxicity-prediction/]]></link>
			<title>Ensemble Machine Learning Models for Multi-Target Nanoparticle Cytotoxicity Prediction</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:57:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-framework-for-generative-ai-designed-synthetic-gene-circuits-for-targeted-in-vivo-senolytic-therapy/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-framework-for-generative-ai-designed-synthetic-gene-circuits-for-targeted-in-vivo-senolytic-therapy/]]></link>
			<title>A Framework for Generative AI-Designed Synthetic Gene Circuits for Targeted In Vivo Senolytic Therapy</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:55:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cleftnet-v2-a-dual-pipeline-deep-learning-and-handcrafted-feature-machine-learning-framework-for-pre-and-post-surgical-classification-of-cleft-lip-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cleftnet-v2-a-dual-pipeline-deep-learning-and-handcrafted-feature-machine-learning-framework-for-pre-and-post-surgical-classification-of-cleft-lip-images/]]></link>
			<title>CleftNet v2: A Dual-Pipeline Deep Learning and Handcrafted-Feature Machine Learning Framework for Pre- and Post-Surgical Classification of Cleft Lip Images</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:45:38 +0000]]></pubDate>
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			<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[Sun, 16 Aug 2026 13:45:19 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-unlearning-based-pre-and-post-surgery-classification-of-cleft-lip-and-nasal-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-unlearning-based-pre-and-post-surgery-classification-of-cleft-lip-and-nasal-images/]]></link>
			<title>Machine Unlearning Based Pre and Post Surgery Classification of Cleft Lip and Nasal Images</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:42:22 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-integrated-machine-learning-and-web-dashboard-framework-for-post-type-2-diabetes-complications-and-recommendations-using-chittagong-based-survey-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-integrated-machine-learning-and-web-dashboard-framework-for-post-type-2-diabetes-complications-and-recommendations-using-chittagong-based-survey-data/]]></link>
			<title>An Integrated Machine Learning and Web Dashboard Framework for Post-Type 2 Diabetes Complications and Recommendations Using Chittagong-Based Survey Data</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:32:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-ceilings-in-generative-ai-learning-analytics-a-six-model-benchmark-of-burnout-risk-grade-change-and-skill-retention-across-50000-student-records/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/predictive-ceilings-in-generative-ai-learning-analytics-a-six-model-benchmark-of-burnout-risk-grade-change-and-skill-retention-across-50000-student-records/]]></link>
			<title>Predictive Ceilings in Generative-AI Learning Analytics: A Six-Model Benchmark of Burnout Risk, Grade Change, and Skill Retention Across 50000 Student Records</title>
			<pubDate><![CDATA[Sun, 16 Aug 2026 13:20:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/myth-model-and-reality-nli-framework-for-hallucination-mitigation-in-slm-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/myth-model-and-reality-nli-framework-for-hallucination-mitigation-in-slm-2/]]></link>
			<title>Myth, Model and Reality NLI Framework for Hallucination Mitigation in SLM</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/time-aware-explainable-machine-learning-for-co2-emission-analysis-in-bangladesh-decoupling-decomposition-and-2030-scenarios/]]></guid>
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			<pubDate><![CDATA[Sun, 16 Aug 2026 13:16:45 +0000]]></pubDate>
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