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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-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[Sat, 10 Oct 2026 18:25:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-backbone-graph-fusion-framework-for-38-class-plant-disease-classification-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-backbone-graph-fusion-framework-for-38-class-plant-disease-classification-2/]]></link>
			<title>A Multi-Backbone Graph Fusion Framework for 38-Class Plant Disease Classification</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 18:24:01 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-bandwidth-and-isolation-challenges-in-thz-mimo-a-dual-band-bow-tie-antenna-for-biomedical-pharmaceutical-and-security-applications-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/addressing-bandwidth-and-isolation-challenges-in-thz-mimo-a-dual-band-bow-tie-antenna-for-biomedical-pharmaceutical-and-security-applications-2/]]></link>
			<title>Addressing Bandwidth and Isolation Challenges in THz MIMO: A Dual-Band Bow-Tie Antenna for Biomedical, Pharmaceutical, and Security Applications</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 18:15:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/remote-sensing-imagery-for-crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/remote-sensing-imagery-for-crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></link>
			<title>Remote Sensing Imagery for Crop Yield Prediction Using Confidence-Weighted Ensemble Model with Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:59:33 +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[Sat, 10 Oct 2026 17:58:25 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/road-surface-defects-and-utilities-detection-using-yolo26-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/road-surface-defects-and-utilities-detection-using-yolo26-with-explainable-ai/]]></link>
			<title>Road Surface Defects and Utilities Detection using YOLO26 with Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:57:43 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/crop-yield-prediction-using-confidence-weighted-ensemble-model-with-explainable-ai/]]></link>
			<title>Solar Power Prediction using Meta-Residual Booster with Explainable AI</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:57:40 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spatial-image-steganalysis-using-fixed-srm-preprocessing-and-srnet/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/spatial-image-steganalysis-using-fixed-srm-preprocessing-and-srnet/]]></link>
			<title>Spatial Image Steganalysis Using Fixed SRM Preprocessing and SRNet</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:57:12 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calforget-calibration-driven-selective-forgetting-via-conformal-influence-attribution/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calforget-calibration-driven-selective-forgetting-via-conformal-influence-attribution/]]></link>
			<title>CalForget: Calibration-Driven Selective Forgetting via Conformal Influence Attribution</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:56:40 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conformal-influence-driven-realignment-cidr-a-framework-for-restoring-model-reliability-under-distribution-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conformal-influence-driven-realignment-cidr-a-framework-for-restoring-model-reliability-under-distribution-shift/]]></link>
			<title>Conformal Influence-Driven Realignment (CIDR): A Framework for Restoring Model Reliability under Distribution Shift</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:54:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-extraction-with-principal-component-analysis-for-congenital-heart-disease-classification-from-chest-radiographs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-extraction-with-principal-component-analysis-for-congenital-heart-disease-classification-from-chest-radiographs/]]></link>
			<title>Deep Feature Extraction with Principal Component Analysis for Congenital Heart Disease Classification from Chest Radiographs</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:51:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/three-layer-forensic-fingerprinting-for-insider-leak-attribution-robust-tracing-tamper-localization-and-content-binding/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/three-layer-forensic-fingerprinting-for-insider-leak-attribution-robust-tracing-tamper-localization-and-content-binding/]]></link>
			<title>Three-Layer Forensic Fingerprinting for Insider Leak Attribution: Robust Tracing, Tamper Localization, and Content Binding</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:49:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/harmful-effects-of-toxic-textile-wastewater-in-bangladesh-a-review-assessment-on-sustainability-environmental-and-real-cost-implications/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/harmful-effects-of-toxic-textile-wastewater-in-bangladesh-a-review-assessment-on-sustainability-environmental-and-real-cost-implications/]]></link>
			<title>Harmful Effects of Toxic Textile Wastewater in Bangladesh: A Review Assessment on Sustainability, Environmental, and Real Cost Implications</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:45:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-filtering-techniques-for-signal-enhancement-in-modern-communication-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-filtering-techniques-for-signal-enhancement-in-modern-communication-systems/]]></link>
			<title>Adaptive Filtering Techniques for Signal Enhancement in Modern Communication Systems</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:43:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-generational-transportability-of-cognitive-risk-models-a-shap-based-analysis-from-aging-adults-to-university-students/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-generational-transportability-of-cognitive-risk-models-a-shap-based-analysis-from-aging-adults-to-university-students/]]></link>
			<title>Cross-Generational Transportability of Cognitive Risk Models: A SHAP-Based Analysis from Aging Adults to University Students</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:36:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conditional-gans-for-joint-facial-denoising-and-multi-angle-synthesis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conditional-gans-for-joint-facial-denoising-and-multi-angle-synthesis/]]></link>
			<title>Conditional GANs for Joint Facial Denoising and Multi-Angle Synthesis</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:30:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thetrestageai-multi-view-retrieval-augmented-generation-for-structured-bengali-theatre-production-planning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thetrestageai-multi-view-retrieval-augmented-generation-for-structured-bengali-theatre-production-planning/]]></link>
			<title>ThetreStageAI: Multi-View Retrieval-Augmented Generation for Structured Bengali Theatre Production Planning</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:29:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-synchronization-aware-deep-reinforcement-learning-framework-for-qoe-optimized-mulsemedia-streaming/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-synchronization-aware-deep-reinforcement-learning-framework-for-qoe-optimized-mulsemedia-streaming/]]></link>
			<title>A Synchronization-Aware Deep Reinforcement Learning Framework for QoE-Optimized Mulsemedia Streaming</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:24:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thyronet-xai-an-explainable-multimodal-framework-for-thyroid-cancer-analysis-using-clinical-and-ultrasound-data-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/thyronet-xai-an-explainable-multimodal-framework-for-thyroid-cancer-analysis-using-clinical-and-ultrasound-data-2/]]></link>
			<title>ThyroNet-XAI: An Explainable Multimodal Framework for Thyroid Cancer Analysis Using Clinical and Ultrasound Data</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:20:05 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tedm-x-transformer-embedded-dirichlet-mixture-topic-discovery-for-automatic-and-interpretable-text-clustering-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tedm-x-transformer-embedded-dirichlet-mixture-topic-discovery-for-automatic-and-interpretable-text-clustering-2/]]></link>
			<title>TEDM-X: Transformer-Embedded Dirichlet Mixture Topic Discovery for Automatic and Interpretable Text Clustering</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:18:06 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-attendance-monitoring-framework-using-fingerprint-authentication-and-facenet-svm-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-attendance-monitoring-framework-using-fingerprint-authentication-and-facenet-svm-recognition/]]></link>
			<title>A Hybrid Attendance Monitoring Framework Using Fingerprint Authentication and FaceNet-SVM Recognition</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:17:58 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/llm-assisted-service-migration-and-resource-allocation-for-dynamic-cloud-edge-computing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/llm-assisted-service-migration-and-resource-allocation-for-dynamic-cloud-edge-computing/]]></link>
			<title>LLM-Assisted Service Migration and Resource Allocation for Dynamic Cloud-Edge Computing</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:16:29 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-strategy-machine-learning-framework-for-real-estate-price-prediction-pooled-contextual-and-segmented-approaches/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-multi-strategy-machine-learning-framework-for-real-estate-price-prediction-pooled-contextual-and-segmented-approaches/]]></link>
			<title>A Multi-Strategy Machine Learning Framework for Real-Estate Price Prediction: Pooled, Contextual, and Segmented Approaches</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:16:04 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-multimodal-skin-lesion-classification-via-supervised-contrastive-learning-and-attention-based-fusion-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-multimodal-skin-lesion-classification-via-supervised-contrastive-learning-and-attention-based-fusion-2/]]></link>
			<title>Explainable Multimodal Skin Lesion Classification via Supervised Contrastive Learning and Attention-Based Fusion</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:13:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-edge-ai-driven-multi-layered-air-defense-framework-for-real-time-cost-asymmetric-threat-prioritization/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-edge-ai-driven-multi-layered-air-defense-framework-for-real-time-cost-asymmetric-threat-prioritization/]]></link>
			<title>An Edge-AI Driven Multi-Layered Air Defense Framework for Real-Time Cost Asymmetric Threat Prioritization</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:11:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-integrated-ai-and-iot-based-advisory-system-for-sustainable-fish-farming_-a-deployed-platform-for-small-scale-aquaculture-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-integrated-ai-and-iot-based-advisory-system-for-sustainable-fish-farming_-a-deployed-platform-for-small-scale-aquaculture-2/]]></link>
			<title>An Integrated AI and IoT-Based Advisory System for Sustainable Fish Farming_ A Deployed Platform for Small-Scale Aquaculture</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:09:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/graph-based-flight-gate-assignment-and-arrival-delay-prediction-using-machine-learning-and-graph-neural-networks-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/graph-based-flight-gate-assignment-and-arrival-delay-prediction-using-machine-learning-and-graph-neural-networks-2/]]></link>
			<title>Graph-Based Flight Gate Assignment and Arrival Delay Prediction using Machine Learning and Graph Neural Networks</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 17:06:43 +0000]]></pubDate>
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			<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[Sat, 10 Oct 2026 16:57:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/exploring-svm-and-cnn-behavior-across-kepler-optical-light-curves-and-tart-radio-visibilities-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/exploring-svm-and-cnn-behavior-across-kepler-optical-light-curves-and-tart-radio-visibilities-2/]]></link>
			<title>Exploring SVM and CNN Behavior Across Kepler Optical Light Curves and TART Radio Visibilities</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 16:54:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-cross-dataset-robustness-benchmark-for-driver-drowsiness-detection-quantifying-and-mitigating-the-generalization-gap-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-cross-dataset-robustness-benchmark-for-driver-drowsiness-detection-quantifying-and-mitigating-the-generalization-gap-2/]]></link>
			<title>A Cross-Dataset Robustness Benchmark for Driver Drowsiness Detection: Quantifying and Mitigating the Generalization Gap</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 16:50:29 +0000]]></pubDate>
		</item>
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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, 10 Oct 2026 16:49:27 +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, 10 Oct 2026 16:39:22 +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[Sat, 10 Oct 2026 16:35:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-driven-transboundary-stacking-framework-for-flash-flood-risk-prediction-in-the-sylhet-basin-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-driven-transboundary-stacking-framework-for-flash-flood-risk-prediction-in-the-sylhet-basin-bangladesh-2/]]></link>
			<title>AI-Driven Transboundary Stacking Framework for Flash Flood Risk Prediction in the Sylhet Basin, Bangladesh</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 16:20:35 +0000]]></pubDate>
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			<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[Sat, 10 Oct 2026 16:19:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-tomato-leaf-disease-classification-using-attention-guided-cnn-and-gcn-feature-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-tomato-leaf-disease-classification-using-attention-guided-cnn-and-gcn-feature-fusion/]]></link>
			<title>Leakage-Controlled Tomato Leaf Disease Classification Using Attention-Guided CNN and GCN Feature Fusion</title>
			<pubDate><![CDATA[Sat, 10 Oct 2026 16:06:42 +0000]]></pubDate>
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			<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[Sat, 10 Oct 2026 16:02:56 +0000]]></pubDate>
		</item>
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