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		<title>NPS Australia Submission System</title>
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			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Wed, 22 Jul 2026 06:46:49 +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[Sun, 26 Jul 2026 15:08:56 +0000]]></pubDate>
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			<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[Sun, 26 Jul 2026 15:08:00 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-dataset-dermatological-lesion-classification-via-self-supervised-feature-extraction-and-attention-driven-hybrid-resampling-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-dataset-dermatological-lesion-classification-via-self-supervised-feature-extraction-and-attention-driven-hybrid-resampling-networks/]]></link>
			<title>Multi-Dataset Dermatological Lesion Classification via Self-Supervised Feature Extraction and Attention-Driven Hybrid Resampling Networks</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 14:01:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/kishinet-a-lightweight-hybrid-cnn-transformer-architecture-with-an-attention-and-out-of-distribution-rejection-mechanism-for-explainable-multi-crop-plant-disease-detection-and-mobile-deployme/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/kishinet-a-lightweight-hybrid-cnn-transformer-architecture-with-an-attention-and-out-of-distribution-rejection-mechanism-for-explainable-multi-crop-plant-disease-detection-and-mobile-deployme/]]></link>
			<title>KishiNet: A Lightweight Hybrid CNN–Transformer Architecture with an Attention and Out-of-Distribution Rejection Mechanism for Explainable Multi-Crop Plant Disease Detection and Mobile Deployment</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 13:58:54 +0000]]></pubDate>
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			<title>Test submission by Raahed</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 13:35:14 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/final-test-for-email-template-update-by-rashed/]]></guid>
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			<title>Final Test for email template update by Rashed</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 12:37:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-intelligent-cauliflower-disease-recognition-a-clahe-enhanced-image-processing-and-svm-based-classification-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/toward-intelligent-cauliflower-disease-recognition-a-clahe-enhanced-image-processing-and-svm-based-classification-framework/]]></link>
			<title>Toward Intelligent Cauliflower Disease Recognition: A CLAHE-Enhanced Image Processing and SVM-Based Classification Framework</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 11:58:15 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/another-test-submission-by-rashed/]]></guid>
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			<title>Another Test Submission by Rashed</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 11:55:03 +0000]]></pubDate>
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			<title>Testing</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 11:40:09 +0000]]></pubDate>
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			<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[Sun, 26 Jul 2026 10:48:16 +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[Sun, 26 Jul 2026 09:15:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/grading-the-sweetness-level-for-watermelon-on-random-forest-and-support-vector-machine/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/grading-the-sweetness-level-for-watermelon-on-random-forest-and-support-vector-machine/]]></link>
			<title>Grading the Sweetness Level for Watermelon on Random Forest and Support Vector Machine</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 09:15:23 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/polynomial-load-curve-modeling-and-coyote-optimization-algorithm-for-demand-side-management-under-time-of-use-tariffs-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/polynomial-load-curve-modeling-and-coyote-optimization-algorithm-for-demand-side-management-under-time-of-use-tariffs-2/]]></link>
			<title>Polynomial Load Curve Modeling and Coyote Optimization Algorithm for Demand Side Management Under Time-of-Use Tariffs</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 09:14:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/anchor-free-vs-anchor-based-detectors-for-multi-scale-thermal-anomaly-detection-in-solar-pv-fields-an-empirical-study-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/anchor-free-vs-anchor-based-detectors-for-multi-scale-thermal-anomaly-detection-in-solar-pv-fields-an-empirical-study-2/]]></link>
			<title>Anchor-Free vs. Anchor-Based Detectors for Multi-Scale Thermal Anomaly Detection in Solar PV Fields: An Empirical Study</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 09:13:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-vehicle-plate-number-recognition-system-using-yolov4/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-vehicle-plate-number-recognition-system-using-yolov4/]]></link>
			<title>Automated Vehicle Plate Number Recognition System using YOLOv4</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 08:51:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-3/]]></link>
			<title>A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 07:25:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images-2/]]></link>
			<title>A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 07:17:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-ensemble-deep-learning-framework-for-automated-malaria-parasite-detection-from-microscopic-blood-cell-images/]]></link>
			<title>A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 07:09:42 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-roi-guided-explainable-deep-ensemble-framework-for-kidney-stone-detection-from-coronal-ct-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-roi-guided-explainable-deep-ensemble-framework-for-kidney-stone-detection-from-coronal-ct-images/]]></link>
			<title>An ROI-Guided Explainable Deep Ensemble Framework for Kidney Stone Detection from Coronal CT Images</title>
			<pubDate><![CDATA[Sun, 26 Jul 2026 06:56:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-blockchain-and-digital-data-driven-transformation-of-healthcare-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ai-blockchain-and-digital-data-driven-transformation-of-healthcare-in-bangladesh/]]></link>
			<title>AI, Blockchain and Digital Data-Driven Transformation of Healthcare in Bangladesh</title>
			<pubDate><![CDATA[Sun, 19 Jul 2026 18:17:42 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-based-multi-crop-soil-suitability-classification-for-the-bogura-region-of-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-based-multi-crop-soil-suitability-classification-for-the-bogura-region-of-bangladesh/]]></link>
			<title>Machine Learning-Based Multi-Crop Soil Suitability Classification for the Bogura Region of Bangladesh</title>
			<pubDate><![CDATA[Sat, 25 Jul 2026 10:56:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/smell-augmented-symbolic-regression-for-explainable-cross-project-defect-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/smell-augmented-symbolic-regression-for-explainable-cross-project-defect-prediction/]]></link>
			<title>Smell-Augmented Symbolic Regression for Explainable Cross-Project Defect Prediction</title>
			<pubDate><![CDATA[Sat, 25 Jul 2026 04:57:07 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/specsynlite-localization-guided-residual-harmonic-synthesis-for-energy-efficient-real-time-speech-enhancement/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/specsynlite-localization-guided-residual-harmonic-synthesis-for-energy-efficient-real-time-speech-enhancement/]]></link>
			<title>SpecSynLite: Localization-Guided Residual Harmonic Synthesis for Energy-Efficient Real-Time Speech Enhancement</title>
			<pubDate><![CDATA[Sat, 25 Jul 2026 03:47:40 +0000]]></pubDate>
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			<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, 25 Jul 2026 03:26:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/edgeseploc-a-lightweight-multi-task-network-for-real-time-speech-enhancement-and-spectral-localization-on-resource-constrained-devices/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/edgeseploc-a-lightweight-multi-task-network-for-real-time-speech-enhancement-and-spectral-localization-on-resource-constrained-devices/]]></link>
			<title>EdgeSepLoc: A Lightweight Multi-Task Network for Real-Time Speech Enhancement and Spectral Localization on Resource-Constrained Devices</title>
			<pubDate><![CDATA[Sat, 25 Jul 2026 02:48:46 +0000]]></pubDate>
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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[Thu, 23 Jul 2026 20:27:42 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/order-without-memory-does-sequential-modeling-actually-help-log-based-anomaly-detection-or-just-the-vocabulary/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/order-without-memory-does-sequential-modeling-actually-help-log-based-anomaly-detection-or-just-the-vocabulary/]]></link>
			<title>Order Without Memory: Does Sequential Modeling Actually Help Log-Based Anomaly Detection, or Just the Vocabulary?</title>
			<pubDate><![CDATA[Thu, 23 Jul 2026 10:47:29 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-cbam-ecgnet-for-explainable-arrhythmia-classification-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-cbam-ecgnet-for-explainable-arrhythmia-classification-2/]]></link>
			<title>A Lightweight CBAM-ECGnet for Explainable Arrhythmia Classification</title>
			<pubDate><![CDATA[Fri, 24 Jul 2026 15:33:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/testing-paper-submission/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/testing-paper-submission/]]></link>
			<title>Testing Paper Submission</title>
			<pubDate><![CDATA[Thu, 23 Jul 2026 20:35:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/shap-feature-attribution-consistency-in-diabetes-prediction-disentangling-feature-availability-from-population-and-label-differences/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/shap-feature-attribution-consistency-in-diabetes-prediction-disentangling-feature-availability-from-population-and-label-differences/]]></link>
			<title>SHAP Feature Attribution Consistency in Diabetes Prediction: Disentangling Feature Availability from Population and Label Differences</title>
			<pubDate><![CDATA[Fri, 24 Jul 2026 13:47:04 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/testing-paper-submission-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/testing-paper-submission-2/]]></link>
			<title>Testing Paper Submission</title>
			<pubDate><![CDATA[Fri, 24 Jul 2026 04:52:21 +0000]]></pubDate>
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			<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[Fri, 24 Jul 2026 03:33:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-two-modalities-power-network-host-fusion-for-electric-vehicle-charging-station-attack-detection-a-controlled-ablation-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-two-modalities-power-network-host-fusion-for-electric-vehicle-charging-station-attack-detection-a-controlled-ablation-study/]]></link>
			<title>Beyond Two Modalities: Power–Network–Host Fusion for Electric Vehicle Charging Station Attack Detection — A Controlled Ablation Study</title>
			<pubDate><![CDATA[Thu, 23 Jul 2026 10:46:55 +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[Thu, 23 Jul 2026 09:05:01 +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/]]></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/]]></link>
			<title>HMSGA-Net: Multi-Scale Gated Attention with Dual ConvNeXt Ensembling for Glaucoma Classification from Fundus Images</title>
			<pubDate><![CDATA[Thu, 23 Jul 2026 09:04:52 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-greet-derived-machine-learning-framework-for-life-cycle-emissions-prediction-of-electric-and-combustion-vehicles/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-greet-derived-machine-learning-framework-for-life-cycle-emissions-prediction-of-electric-and-combustion-vehicles/]]></link>
			<title>A GREET-Derived Machine Learning Framework for Life-Cycle Emissions Prediction of Electric and Combustion Vehicles</title>
			<pubDate><![CDATA[Wed, 22 Jul 2026 15:40:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficientnetv2s-with-end-ensemble-for-robust-bangla-handwritten-character-recognition-4/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficientnetv2s-with-end-ensemble-for-robust-bangla-handwritten-character-recognition-4/]]></link>
			<title>EfficientNetV2S with End Ensemble for Robust Bangla Handwritten Character Recognition</title>
			<pubDate><![CDATA[Wed, 22 Jul 2026 15:39:20 +0000]]></pubDate>
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			<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>
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			<pubDate><![CDATA[Tue, 21 Jul 2026 16:34:29 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/dynamic-support-driven-adaptive-frequent-pattern-mining-for-incremental-databases/]]></guid>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/green-edge-ai-for-chest-x-ray-pneumonia-diagnosis-an-eada-benchmark/]]></guid>
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			<pubDate><![CDATA[Mon, 20 Jul 2026 09:11:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/weather-aware-and-perception-driven-digital-twin-for-urban-robot-navigation/]]></guid>
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			<pubDate><![CDATA[Mon, 20 Jul 2026 08:56:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-lung-disease-diagnosis-using-chest-x-ray-with-xai/]]></guid>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multihead-attention-based-cnn-bilstm-for-aquatic-plant-classification/]]></guid>
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