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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/provable-moving-target-defense-for-cyber-physical-networks-from-the-security-performance-frontier-to-no-regret-defense/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/provable-moving-target-defense-for-cyber-physical-networks-from-the-security-performance-frontier-to-no-regret-defense/]]></link>
			<title>Provable Moving-Target Defense for Cyber-Physical Networks: From the Security–Performance Frontier to No-Regret Defense</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 05:21:35 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/revisiting-behavioral-android-malware-classification-a-leakage-controlled-benchmark-of-tree-ensemble-methods-and-hybrid-attention-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/revisiting-behavioral-android-malware-classification-a-leakage-controlled-benchmark-of-tree-ensemble-methods-and-hybrid-attention-networks/]]></link>
			<title>Revisiting Behavioral Android Malware Classification: A Leakage-Controlled Benchmark of Tree Ensemble Methods and Hybrid Attention Networks</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 05:20:34 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/novel-attacks-arrive-diffuse-rethinking-few-shot-open-set-enrollment-for-ros-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/novel-attacks-arrive-diffuse-rethinking-few-shot-open-set-enrollment-for-ros-intrusion-detection/]]></link>
			<title>Novel Attacks Arrive Diffuse: Rethinking Few-Shot Open-Set Enrollment for ROS Intrusion Detection</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 05:19:32 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-bangla-speech-dataset-for-sentence-type-and-emotion-classification-using-traditional-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-bangla-speech-dataset-for-sentence-type-and-emotion-classification-using-traditional-machine-learning/]]></link>
			<title>A Bangla Speech Dataset for Sentence Type and Emotion Classification Using Traditional Machine Learning</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 05:16:05 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/embedded-fail-safe-and-real-time-communication-framework-for-http-based-wireless-mobile-robot-teleoperation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/embedded-fail-safe-and-real-time-communication-framework-for-http-based-wireless-mobile-robot-teleoperation/]]></link>
			<title>Embedded Fail-Safe and Real-Time Communication Framework for HTTP-Based Wireless Mobile Robot Teleoperation</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:56:58 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/curvature-regularized-graph-tractography-for-reproducible-multi-site-diffusion-mri-connectomes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/curvature-regularized-graph-tractography-for-reproducible-multi-site-diffusion-mri-connectomes/]]></link>
			<title>Curvature-Regularized Graph Tractography for Reproducible Multi-Site Diffusion MRI Connectomes</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:42:08 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ensemble-machine-learning-framework-for-predicting-icu-mortality-in-critically-ill-patients/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-ensemble-machine-learning-framework-for-predicting-icu-mortality-in-critically-ill-patients/]]></link>
			<title>An Explainable Ensemble Machine-Learning Framework for Predicting ICU Mortality in Critically Ill Patients</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:31:20 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-of-avr-performance-using-pid-anfis-and-ann-based-controllers-under-time-domain-analysis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-of-avr-performance-using-pid-anfis-and-ann-based-controllers-under-time-domain-analysis/]]></link>
			<title>Evaluation of AVR Performance Using PID, ANFIS, and ANN-Based Controllers Under Time-Domain Analysis</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:16:13 +0000]]></pubDate>
		</item>
					<item>
			<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[Wed, 30 Sep 2026 04:07:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-rice-leaf-disease-detection-using-deep-feature-extraction-and-machine-learning-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-rice-leaf-disease-detection-using-deep-feature-extraction-and-machine-learning-classification/]]></link>
			<title>Automated Rice Leaf Disease Detection Using  Deep Feature Extraction and Machine Learning  Classification</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 03:54:51 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-object-classification-in-autonomous-driving-a-lightweight-residual-cnn-approach-on-unified-bdd100k-coco-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/real-time-object-classification-in-autonomous-driving-a-lightweight-residual-cnn-approach-on-unified-bdd100k-coco-data/]]></link>
			<title>Real-Time Object Classification in Autonomous Driving: A Lightweight Residual CNN Approach on Unified BDD100K–COCO Data</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 03:09:41 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-adaptive-fusion-based-ensemble-deep-learning-framework-for-cross-subject-eeg-emotion-recognition-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-adaptive-fusion-based-ensemble-deep-learning-framework-for-cross-subject-eeg-emotion-recognition-2/]]></link>
			<title>An Adaptive Fusion-Based Ensemble Deep Learning Framework for Cross-Subject EEG Emotion Recognition</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 02:46:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-and-generalizable-deepfake-detection-for-vishing-attack-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-and-generalizable-deepfake-detection-for-vishing-attack-recognition/]]></link>
			<title>Explainable and Generalizable Deepfake Detection for Vishing Attack Recognition</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 02:11:40 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-simulation-and-sizing-assessment-of-an-off-grid-solar-pv-pem-green-hydrogen-generation-and-compressed-storage-system-for-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-simulation-and-sizing-assessment-of-an-off-grid-solar-pv-pem-green-hydrogen-generation-and-compressed-storage-system-for-bangladesh-2/]]></link>
			<title>Design, Simulation, and Sizing Assessment of an Off-Grid Solar PV–PEM Green Hydrogen Generation and Compressed Storage System for Bangladesh</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 02:01:05 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/]]></link>
			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 02:00:04 +0000]]></pubDate>
		</item>
					<item>
			<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[Wed, 30 Sep 2026 00:28:09 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/30-day-ahead-load-forecasting-for-the-rajshahi-zone-of-the-bangladesh-power-system-a-linear-base-boosted-bilstm-approach/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/30-day-ahead-load-forecasting-for-the-rajshahi-zone-of-the-bangladesh-power-system-a-linear-base-boosted-bilstm-approach/]]></link>
			<title>30-Day-Ahead Load Forecasting for the Rajshahi Zone of the Bangladesh Power System: A Linear-Base Boosted BiLSTM Approach</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 00:18:52 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-lingual-and-cross-domain-transfer-learning-for-digital-arrest-scam-detection-via-transformer-warm-starting-with-coercion-stage-explainability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-lingual-and-cross-domain-transfer-learning-for-digital-arrest-scam-detection-via-transformer-warm-starting-with-coercion-stage-explainability/]]></link>
			<title>Cross-Lingual and Cross-Domain Transfer Learning for Digital-Arrest Scam Detection via Transformer Warm-Starting with Coercion-Stage Explainability</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 23:47:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/above-chance-below-the-baseline-a-majority-anchored-case-grouped-ablation-for-thyroid-ultrasound-segmentation-and-report-derived-suspicion-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/above-chance-below-the-baseline-a-majority-anchored-case-grouped-ablation-for-thyroid-ultrasound-segmentation-and-report-derived-suspicion-classification/]]></link>
			<title>Above Chance, Below the Baseline: A Majority-Anchored, Case-Grouped Ablation for Thyroid Ultrasound Segmentation and Report-Derived Suspicion Classification</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 23:46:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/aqua-monitor-a-decoupled-lora-to-cloud-iot-architecture-for-low-cost-multi-pond-water-quality-monitoring-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/aqua-monitor-a-decoupled-lora-to-cloud-iot-architecture-for-low-cost-multi-pond-water-quality-monitoring-2/]]></link>
			<title>Aqua Monitor: A Decoupled LoRa-to-Cloud IoT Architecture for Low-Cost Multi-Pond Water Quality Monitoring</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 23:37:08 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conservation-residual-augmented-learning-for-telemetry-integrity-monitoring-of-rooftop-solar-storage-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conservation-residual-augmented-learning-for-telemetry-integrity-monitoring-of-rooftop-solar-storage-systems/]]></link>
			<title>Conservation-Residual Augmented Learning for Telemetry Integrity Monitoring of Rooftop Solar-Storage Systems</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 23:33:07 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-calibrated-hierarchical-xlm-r-for-bilingual-phq-9-depression-severity-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-calibrated-hierarchical-xlm-r-for-bilingual-phq-9-depression-severity-classification/]]></link>
			<title>Explainable Calibrated Hierarchical XLM-R for Bilingual PHQ-9 Depression Severity Classification</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 21:28:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physics-and-communication-aware-remote-terminal-unit-cyberattacks-detection-and-classification-for-smart-energy-grids/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physics-and-communication-aware-remote-terminal-unit-cyberattacks-detection-and-classification-for-smart-energy-grids/]]></link>
			<title>Physics and Communication-Aware Remote Terminal Unit Cyberattacks Detection and Classification for Smart Energy Grids</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 21:25:43 +0000]]></pubDate>
		</item>
					<item>
			<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[Tue, 29 Sep 2026 21:19:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-for-regional-load-shedding-severity-classification-using-supply-side-constraints-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-machine-learning-for-regional-load-shedding-severity-classification-using-supply-side-constraints-in-bangladesh/]]></link>
			<title>Explainable Machine Learning for Regional Load-Shedding Severity Classification Using Supply-Side Constraints in Bangladesh</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 20:58:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multimodal-autonomous-drone-surveillance-for-campus-security-yolo11-based-person-and-id-card-detection-with-acoustic-threat-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multimodal-autonomous-drone-surveillance-for-campus-security-yolo11-based-person-and-id-card-detection-with-acoustic-threat-classification/]]></link>
			<title>Multimodal Autonomous Drone Surveillance for Campus Security: YOLO11-Based Person and ID-Card Detection with Acoustic Threat Classification</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 20:48:23 +0000]]></pubDate>
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			<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[Tue, 29 Sep 2026 20:32:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pp-gbd-privacy-preserving-graph-neural-botnet-detection-in-encrypted-traffic/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/pp-gbd-privacy-preserving-graph-neural-botnet-detection-in-encrypted-traffic/]]></link>
			<title>PP-GBD: Privacy-Preserving Graph Neural Botnet Detection in Encrypted Traffic</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 20:29:54 +0000]]></pubDate>
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					<item>
			<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, 29 Sep 2026 20:27:30 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/medinetlite-a-resource-efficient-ultra-lightweight-cnn-for-medicinal-leaf-recognition-in-bangladeshi-weed-infested-area/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/medinetlite-a-resource-efficient-ultra-lightweight-cnn-for-medicinal-leaf-recognition-in-bangladeshi-weed-infested-area/]]></link>
			<title>MediNetLite: A Resource Efficient Ultra Lightweight CNN for Medicinal Leaf Recognition in Bangladeshi Weed-Infested Area</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 20:21:17 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conflict-aware-trust-based-aggregation-for-poisoning-resistant-federated-medical-image-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/conflict-aware-trust-based-aggregation-for-poisoning-resistant-federated-medical-image-classification/]]></link>
			<title>Conflict Aware Trust-Based Aggregation for Poisoning Resistant Federated Medical Image Classification</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 20:04:27 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unipedformer-a-unified-single-stage-vision-transformer-for-joint-pedestrian-detection-and-trajectory-prediction/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unipedformer-a-unified-single-stage-vision-transformer-for-joint-pedestrian-detection-and-trajectory-prediction/]]></link>
			<title>UniPedFormer: A Unified Single-Stage Vision Transformer for Joint Pedestrian Detection and Trajectory Prediction</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 19:50:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/twenty-five-years-of-air-quality-in-bangladesh-trends-seasonality-and-spatial-pollution-regimes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/twenty-five-years-of-air-quality-in-bangladesh-trends-seasonality-and-spatial-pollution-regimes/]]></link>
			<title>Twenty-Five Years of Air Quality in Bangladesh: Trends, Seasonality, and Spatial Pollution Regimes</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 19:32:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/wide-deep-fahn-a-fuzzy-attention-hybrid-network-for-e-commerce-purchase-prediction-with-sequence-and-statistical-feature-fusion/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/wide-deep-fahn-a-fuzzy-attention-hybrid-network-for-e-commerce-purchase-prediction-with-sequence-and-statistical-feature-fusion/]]></link>
			<title>Wide &amp; Deep FAHN: A Fuzzy Attention Hybrid Network for E-Commerce Purchase Prediction with Sequence and Statistical Feature Fusion</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 19:21:00 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/recurrent-graph-reinforcement-learning-framework-for-task-offloading-in-internet-of-vehicles/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/recurrent-graph-reinforcement-learning-framework-for-task-offloading-in-internet-of-vehicles/]]></link>
			<title>Recurrent Graph Reinforcement Learning Framework for Task Offloading in Internet of Vehicles</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 19:16:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/notebridge-a-framework-for-real-time-multimodal-lecture-note-taking-with-evolving-knowledge-state/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/notebridge-a-framework-for-real-time-multimodal-lecture-note-taking-with-evolving-knowledge-state/]]></link>
			<title>NOTEBRIDGE: A Framework for Real-Time Multimodal Lecture Note-Taking with Evolving Knowledge State</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 19:08:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/yolo-hvconv-a-horizontally-vertically-aware-yolo-for-road-damage-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/yolo-hvconv-a-horizontally-vertically-aware-yolo-for-road-damage-detection/]]></link>
			<title>YOLO-HVConv: A Horizontally-Vertically Aware YOLO for Road Damage Detection</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 19:00:50 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/what-actually-drives-profit-in-telecom-churn-retention-profit-aligned-targeting-versus-accuracy-and-calibration/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/what-actually-drives-profit-in-telecom-churn-retention-profit-aligned-targeting-versus-accuracy-and-calibration/]]></link>
			<title>What Actually Drives Profit in Telecom Churn Retention: Profit-Aligned Targeting versus Accuracy and Calibration</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 18:53:26 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ann-and-lstm-models-for-hourly-power-prediction-of-a-tropical-floating-photovoltaic-system-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ann-and-lstm-models-for-hourly-power-prediction-of-a-tropical-floating-photovoltaic-system-2/]]></link>
			<title>ANN and LSTM Models for Hourly Power Prediction of a Tropical Floating Photovoltaic System</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 18:44:03 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/enhanced-climate-forecasting-in-northeastern-bangladesh-using-hybrid-sarima-ann-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/enhanced-climate-forecasting-in-northeastern-bangladesh-using-hybrid-sarima-ann-models/]]></link>
			<title>Enhanced Climate Forecasting in Northeastern Bangladesh using Hybrid SARIMA-ANN Models</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 18:42:56 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-optimization-of-a-battery-energy-storage-system-for-a-tropical-floating-photovoltaic-plant/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/techno-economic-optimization-of-a-battery-energy-storage-system-for-a-tropical-floating-photovoltaic-plant/]]></link>
			<title>Techno-Economic Optimization of a Battery Energy Storage System for a Tropical Floating Photovoltaic Plant</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 18:21:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-corpus-transfer-and-label-calibrated-learning-for-imbalanced-multi-label-bangla-hate-speech-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cross-corpus-transfer-and-label-calibrated-learning-for-imbalanced-multi-label-bangla-hate-speech-detection/]]></link>
			<title>Cross-Corpus Transfer and Label-Calibrated Learning for Imbalanced Multi-Label Bangla Hate Speech Detection</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 18:17:44 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/q-learning-based-degradation-aware-bess-management-for-agricultural-microgrids/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/q-learning-based-degradation-aware-bess-management-for-agricultural-microgrids/]]></link>
			<title>Q-Learning-Based Degradation-Aware BESS Management for Agricultural Microgrids</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 17:56:03 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-machine-learning-framework-for-cyberbullying-detection-in-social-media-comments-hybrid-lexical-sublexical-modeling-with-global-and-local-explanations-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-machine-learning-framework-for-cyberbullying-detection-in-social-media-comments-hybrid-lexical-sublexical-modeling-with-global-and-local-explanations-2/]]></link>
			<title>An Explainable Machine Learning Framework for Cyberbullying Detection in Social Media Comments: Hybrid Lexical–Sublexical Modeling with Global and Local Explanations</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 17:52:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-surrogate-framework-for-designing-and-optimizing-the-char-nizam-off-grid-hybrid-power-system-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-machine-learning-surrogate-framework-for-designing-and-optimizing-the-char-nizam-off-grid-hybrid-power-system-in-bangladesh/]]></link>
			<title>A Machine-Learning Surrogate Framework for Designing and Optimizing the Char Nizam Off-Grid Hybrid Power System in Bangladesh</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 17:35:30 +0000]]></pubDate>
		</item>
					<item>
			<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[Tue, 29 Sep 2026 17:19:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/early-detection-of-traffic-congestion-before-breakdown-a-spatiotemporal-warning-framework-for-intelligent-transportation-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/early-detection-of-traffic-congestion-before-breakdown-a-spatiotemporal-warning-framework-for-intelligent-transportation-systems/]]></link>
			<title>Early Detection of Traffic Congestion Before Breakdown: A Spatiotemporal Warning Framework for Intelligent Transportation Systems</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 17:13:50 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/blockchain-assisted-temporal-graph-learning-for-trustworthy-supply-chain-forecasting-a-bangladesh-case-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/blockchain-assisted-temporal-graph-learning-for-trustworthy-supply-chain-forecasting-a-bangladesh-case-study/]]></link>
			<title>Blockchain-Assisted Temporal Graph Learning for Trustworthy Supply Chain Forecasting: A Bangladesh Case Study</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 16:54:31 +0000]]></pubDate>
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			<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[Tue, 29 Sep 2026 16:52:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/retrospective-landmark-classification-of-recorded-administrative-student-dropout-status-from-university-records/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/retrospective-landmark-classification-of-recorded-administrative-student-dropout-status-from-university-records/]]></link>
			<title>Retrospective Landmark Classification of Recorded Administrative Student Dropout Status from University Records</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 16:51:17 +0000]]></pubDate>
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