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		<title>NPS Australia Submission System</title>
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			<title>NPS Australia Submission System</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-adaptive-fusion-based-ensemble-deep-learning-framework-for-cross-subject-eeg-emotion-recognition/]]></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/]]></link>
			<title>An Adaptive Fusion-Based Ensemble Deep Learning Framework for Cross-Subject EEG Emotion Recognition</title>
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			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/socially-responsible-technology-examining-social-media-addiction-and-mental-health-among-university-students/]]></link>
			<title>Socially Responsible Technology: Examining Social Media Addiction and Mental Health among University Students</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:19:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/latency-aware-federated-learning-for-network-intrusion-detection-under-non-iid-data/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/latency-aware-federated-learning-for-network-intrusion-detection-under-non-iid-data/]]></link>
			<title>Latency-Aware Federated Learning for Network Intrusion Detection under Non-IID Data</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:19:12 +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[Sat, 05 Sep 2026 16:17:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-protocol-for-private-face-recognition-using-post-quantum-secure-encryption/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-protocol-for-private-face-recognition-using-post-quantum-secure-encryption/]]></link>
			<title>An Efficient Protocol for Private Face Recognition Using Post-Quantum Secure Encryption</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:16:53 +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[Sat, 05 Sep 2026 16:16:30 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reliability-and-conflict-aware-closed-loop-multimodal-edge-framework-for-landslide-early-warning-a-simulation-based-algorithmic-evaluation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reliability-and-conflict-aware-closed-loop-multimodal-edge-framework-for-landslide-early-warning-a-simulation-based-algorithmic-evaluation/]]></link>
			<title>Reliability and Conflict-Aware Closed-Loop Multimodal Edge Framework for Landslide Early Warning: A Simulation-Based Algorithmic Evaluation</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:13:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hp-mmfa-mobility-aware-min-max-resource-allocation-for-vehicular-cloud-computing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hp-mmfa-mobility-aware-min-max-resource-allocation-for-vehicular-cloud-computing/]]></link>
			<title>HP-MMFA: Mobility-Aware Min-Max Resource Allocation for Vehicular Cloud Computing</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:12:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/influence-of-color-space-on-gan-based-image-colorization-with-a-grayscale-to-color-network-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/influence-of-color-space-on-gan-based-image-colorization-with-a-grayscale-to-color-network-2/]]></link>
			<title>Influence of Color Space on GAN-Based Image Colorization with a Grayscale to Color Network</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:09:05 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/resqplus-a-weapon-detection-and-emergency-alert-platform-for-real-time-public-safety-using-yolo11n/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/resqplus-a-weapon-detection-and-emergency-alert-platform-for-real-time-public-safety-using-yolo11n/]]></link>
			<title>ResQPlus: A Weapon Detection and Emergency Alert Platform for Real-Time Public Safety Using YOLO11n</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:06:55 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multiclass-emotion-detection-of-bangla-verse-text-using-nlp-and-predictive-machine-learning-models-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multiclass-emotion-detection-of-bangla-verse-text-using-nlp-and-predictive-machine-learning-models-2/]]></link>
			<title>Multiclass Emotion Detection of Bangla Verse Text using NLP and Predictive Machine Learning Models</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:03:10 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/does-cross-encoder-reranking-close-the-multi-hop-performance-gap-between-knowledge-graph-retrieval-and-vector-rag-in-renewable-energy-domain-qa/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/does-cross-encoder-reranking-close-the-multi-hop-performance-gap-between-knowledge-graph-retrieval-and-vector-rag-in-renewable-energy-domain-qa/]]></link>
			<title>Does Cross-Encoder Reranking Close the Multi-Hop Performance Gap Between Knowledge Graph Retrieval and Vector RAG in Renewable Energy Domain QA?</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:02:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/domain-adaptive-fusion-of-wavelet-entropy-and-wpli-graph-attention-for-cross-dataset-eeg-seizure-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/domain-adaptive-fusion-of-wavelet-entropy-and-wpli-graph-attention-for-cross-dataset-eeg-seizure-detection/]]></link>
			<title>Domain-Adaptive Fusion of Wavelet-Entropy and wPLI Graph Attention for Cross-Dataset EEG Seizure Detection</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 16:01:01 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interpretable-brain-tumor-mri-classification-comparing-glcm-based-classical-models-and-cnns/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/interpretable-brain-tumor-mri-classification-comparing-glcm-based-classical-models-and-cnns/]]></link>
			<title>Interpretable Brain Tumor MRI Classification: Comparing GLCM-Based Classical Models and CNNs</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:59:57 +0000]]></pubDate>
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					<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[Sat, 05 Sep 2026 15:57:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-difficulty-and-algorithmic-tag-prediction-for-competitive-programming-problems-using-natural-language-processing/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-difficulty-and-algorithmic-tag-prediction-for-competitive-programming-problems-using-natural-language-processing/]]></link>
			<title>Automated Difficulty and Algorithmic Tag Prediction for Competitive Programming Problems Using Natural Language Processing</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:52:54 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglasentiemo-cross-task-affective-structure-from-a-shared-banglabert-encoder-for-joint-sentiment-emotion-classification-in-bengali-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglasentiemo-cross-task-affective-structure-from-a-shared-banglabert-encoder-for-joint-sentiment-emotion-classification-in-bengali-2/]]></link>
			<title>BanglaSentiEmo: Cross-Task Affective Structure from a Shared BanglaBERT Encoder for Joint Sentiment-Emotion Classification in Bengali</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:51:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglasentiemo-cross-task-affective-structure-from-a-shared-banglabert-encoder-for-joint-sentiment-emotion-classification-in-bengali/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglasentiemo-cross-task-affective-structure-from-a-shared-banglabert-encoder-for-joint-sentiment-emotion-classification-in-bengali/]]></link>
			<title>BanglaSentiEmo: Cross-Task Affective Structure from a Shared BanglaBERT Encoder for Joint Sentiment-Emotion Classification in Bengali</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:51:19 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-serial-rag-engine-for-offline-math-education/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/efficient-serial-rag-engine-for-offline-math-education/]]></link>
			<title>Efficient Serial RAG Engine for Offline Math Education</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:48:18 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-image-level-random-splits-a-leakage-aware-reliability-assessment-for-lightweight-jackfruit-leaf-health-state-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/beyond-image-level-random-splits-a-leakage-aware-reliability-assessment-for-lightweight-jackfruit-leaf-health-state-recognition/]]></link>
			<title>Beyond Image-Level Random Splits: A Leakage-Aware Reliability Assessment for Lightweight Jackfruit Leaf Health-State Recognition</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:42:30 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-three-layer-behavioral-authentication-architecture-for-resource-constrained-embedded-devices-design-and-simulation-based-feasibility-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-three-layer-behavioral-authentication-architecture-for-resource-constrained-embedded-devices-design-and-simulation-based-feasibility-study/]]></link>
			<title>A Three-Layer Behavioral Authentication Architecture for Resource-Constrained Embedded Devices: Design and Simulation-Based Feasibility Study</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:41:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-deep-learning-framework-for-bone-tumor-classification-from-x-ray-images-using-efficientnet-densenet-and-ensemble-voting/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hybrid-deep-learning-framework-for-bone-tumor-classification-from-x-ray-images-using-efficientnet-densenet-and-ensemble-voting/]]></link>
			<title>Hybrid Deep Learning Framework for Bone Tumor Classification from X-Ray Images Using EfficientNet, DenseNet, and Ensemble Voting</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:40:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/attention-augmented-deep-learning-and-decision-threshold-tuning-for-primary-bone-tumor-classification-in-radiographs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/attention-augmented-deep-learning-and-decision-threshold-tuning-for-primary-bone-tumor-classification-in-radiographs/]]></link>
			<title>Attention-Augmented Deep Learning and Decision-Threshold Tuning for Primary Bone Tumor Classification in Radiographs</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:39:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-blind-spots-in-iec-60870-5-104-intrusion-detection-beyond-attack-only-metrics/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluation-blind-spots-in-iec-60870-5-104-intrusion-detection-beyond-attack-only-metrics/]]></link>
			<title>Evaluation Blind Spots in IEC 60870-5-104 Intrusion Detection: Beyond Attack-Only Metrics</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:30:27 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-messages-to-malicious-links-joint-spam-and-phishing-detection-via-cross-attentive-multimodal-learning-3/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-messages-to-malicious-links-joint-spam-and-phishing-detection-via-cross-attentive-multimodal-learning-3/]]></link>
			<title>From Messages to Malicious Links: Joint Spam and Phishing Detection via Cross-Attentive Multimodal Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:24:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ecg-heartbeat-classification-for-cardiac-disease-detection-using-1d-cnn-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/ecg-heartbeat-classification-for-cardiac-disease-detection-using-1d-cnn-with-explainable-ai/]]></link>
			<title>ECG Heartbeat Classification for Cardiac Disease Detection using 1D-CNN with Explainable AI</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:23:06 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/qubo-inspired-simulated-annealing-for-job-shop-scheduling-a-benchmark-comparison-with-classical-dispatching-heuristics/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/qubo-inspired-simulated-annealing-for-job-shop-scheduling-a-benchmark-comparison-with-classical-dispatching-heuristics/]]></link>
			<title>QUBO-Inspired Simulated Annealing for Job-Shop Scheduling: A Benchmark Comparison with Classical Dispatching Heuristics</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:22:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-railway-level-crossing-system-with-multi-zone-train-monitoring-and-predictive-safety/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-railway-level-crossing-system-with-multi-zone-train-monitoring-and-predictive-safety/]]></link>
			<title>An Intelligent Railway Level Crossing System with Multi-Zone Train Monitoring and Predictive Safety</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:22:29 +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[Sat, 05 Sep 2026 15:21:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-critical-technical-analysis-of-adaptive-privacy-budget-allocation-in-federated-medical-imaging/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-critical-technical-analysis-of-adaptive-privacy-budget-allocation-in-federated-medical-imaging/]]></link>
			<title>A Critical Technical Analysis of Adaptive Privacy-budget Allocation in Federated Medical Imaging</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:11:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/safer-rag-explainable-and-calibrated-hallucination-detection-with-selective-prediction-under-distribution-shift/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/safer-rag-explainable-and-calibrated-hallucination-detection-with-selective-prediction-under-distribution-shift/]]></link>
			<title>SAFER-RAG: Explainable and Calibrated Hallucination Detection with Selective Prediction under Distribution Shift</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:11:28 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iets-stroke-an-imbalance-aware-explainable-and-threshold-tuned-stacking-framework-for-stroke-risk-screening-with-cross-dataset-validation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iets-stroke-an-imbalance-aware-explainable-and-threshold-tuned-stacking-framework-for-stroke-risk-screening-with-cross-dataset-validation/]]></link>
			<title>IETS-Stroke: An Imbalance-Aware, Explainable, and Threshold-Tuned Stacking Framework for Stroke Risk Screening with Cross-Dataset Validation</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:07:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explanation-faithfulness-under-intra-language-distribution-shift-in-low-resource-bangla-sentiment-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explanation-faithfulness-under-intra-language-distribution-shift-in-low-resource-bangla-sentiment-classification/]]></link>
			<title>Explanation Faithfulness under Intra-Language Distribution Shift in Low-Resource Bangla Sentiment Classification</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 15:04:32 +0000]]></pubDate>
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			<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[Sat, 05 Sep 2026 15:01:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robustness-aware-fire-smoke-detection-an-xai-guided-diagnosis-to-mitigation-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robustness-aware-fire-smoke-detection-an-xai-guided-diagnosis-to-mitigation-framework/]]></link>
			<title>Robustness-Aware Fire &amp; Smoke Detection: An XAI-Guided Diagnosis-to-Mitigation Framework</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:56:53 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-large-scale-performance-evaluation-of-ml-based-and-deep-neural-models-in-evil-twin-attack-identification-using-a-hybrid-ieee-802-11-dataset/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-large-scale-performance-evaluation-of-ml-based-and-deep-neural-models-in-evil-twin-attack-identification-using-a-hybrid-ieee-802-11-dataset/]]></link>
			<title>A Large-Scale Performance Evaluation of ML-Based and Deep-Neural Models in Evil Twin Attack Identification Using a Hybrid IEEE 802.11 Dataset</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:54:58 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/longitudinal-alzheimers-disease-progression-analysis-via-a-hybrid-feature-selected-stacking-ensemble-framework-with-explainable-ai/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/longitudinal-alzheimers-disease-progression-analysis-via-a-hybrid-feature-selected-stacking-ensemble-framework-with-explainable-ai/]]></link>
			<title>Longitudinal Alzheimer’s Disease Progression Analysis via a Hybrid Feature-Selected Stacking Ensemble Framework with Explainable AI</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:52:43 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-messages-to-malicious-links-joint-spam-and-phishing-detection-via-cross-attentive-multimodal-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-messages-to-malicious-links-joint-spam-and-phishing-detection-via-cross-attentive-multimodal-learning/]]></link>
			<title>From Messages to Malicious Links: Joint Spam and Phishing Detection via Cross-Attentive Multimodal Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:45:44 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-optimized-microstrip-patch-antenna-array-for-application-in-pancreatic-cancer-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-optimized-microstrip-patch-antenna-array-for-application-in-pancreatic-cancer-detection/]]></link>
			<title>Machine Learning Optimized Microstrip Patch Antenna Array for Application in Pancreatic Cancer Detection</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:44:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-optimizing-mac-protocol-for-wbans-managing-multi-class-and-multi-load-in-ieee-802-15-6-superframes-using-hysteretic-q-learning/]]></guid>
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			<title>An Optimizing MAC Protocol for WBANs Managing Multi-class and Multi-load in IEEE 802.15.6 Superframes Using Hysteretic Q-learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:42:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-messages-to-malicious-links-joint-spam-and-phishing-detection-via-cross-attentive-multimodal-learning-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-messages-to-malicious-links-joint-spam-and-phishing-detection-via-cross-attentive-multimodal-learning-2/]]></link>
			<title>From Messages to Malicious Links: Joint Spam and Phishing Detection via Cross-Attentive Multimodal Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:42:02 +0000]]></pubDate>
		</item>
					<item>
			<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>
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			<title>Wide &amp; Deep FAHN: A Fuzzy Attention Hybrid Network for E-Commerce Purchase Prediction with Sequence and Statistical Feature Fusion</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:33:24 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/image-based-fruit-ripeness-classification-using-machine-learning-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/image-based-fruit-ripeness-classification-using-machine-learning-2/]]></link>
			<title>Image-based Fruit Ripeness Classification Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:31:54 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/image-based-fruit-ripeness-classification-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/image-based-fruit-ripeness-classification-using-machine-learning/]]></link>
			<title>Image-based Fruit Ripeness Classification Using Machine Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 14:30:11 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/designing-a-sustainable-gamified-english-speaking-ecosystem-a-human-centered-framework-for-resource-constrained-universities/]]></guid>
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			<pubDate><![CDATA[Sat, 05 Sep 2026 14:26:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-deep-learning-architecture-for-autism-spectrum-disorder-diagnosis-from-functional-mri-2/]]></guid>
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		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/understanding-how-generative-ai-can-encourage-self-directed-learning-the-roles-of-perceived-self-efficacy-and-learning-motivation/]]></guid>
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			<title>Understanding How Generative AI Can Encourage Self-Directed Learning: The Roles of Perceived Self-Efficacy and Learning Motivation</title>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-feature-fusion-of-cnn-and-vision-transformer-for-automated-osteoporosis-detection-from-knee-x-ray-images-2/]]></guid>
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			<pubDate><![CDATA[Sat, 05 Sep 2026 14:10:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/sustainable-technology-and-energy-justice-infrastructure-and-citizenship-in-lavanya-lakshminarayans-the-ten-percent-thief/]]></guid>
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