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		<title>NPS Australia Submission System</title>
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			<title>NPS Australia Submission System</title>
			<pubDate><![CDATA[Thu, 27 Aug 2026 11:09:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-sequential-hybrid-intrusion-detection-model-for-detecting-dos-attacks-in-uav-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-sequential-hybrid-intrusion-detection-model-for-detecting-dos-attacks-in-uav-networks/]]></link>
			<title>A Sequential Hybrid Intrusion Detection Model for Detecting DoS Attacks in UAV Networks</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 06:34:37 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/economic-prospects-and-challenges-of-solar-energy-adoption-in-bangladeshi-households/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/economic-prospects-and-challenges-of-solar-energy-adoption-in-bangladeshi-households/]]></link>
			<title>Economic Prospects and Challenges of Solar Energy Adoption in Bangladeshi Households</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 06:34:21 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/comparative-techno-economic-analysis-of-si-gaas-and-ingan-thin-film-solar-cells-under-bangladeshs-climatic-conditions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/comparative-techno-economic-analysis-of-si-gaas-and-ingan-thin-film-solar-cells-under-bangladeshs-climatic-conditions/]]></link>
			<title>Comparative Techno-Economic Analysis of Si, GaAs, and InGaN Thin-Film Solar Cells under Bangladesh’s Climatic Conditions</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 05:50:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-humor-hides-harm-a-fusion-based-approach-to-decoding-sentiment-in-bengali-memes/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/when-humor-hides-harm-a-fusion-based-approach-to-decoding-sentiment-in-bengali-memes/]]></link>
			<title>When Humor Hides Harm: A Fusion-Based Approach to Decoding Sentiment in Bengali Memes</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 05:36:11 +0000]]></pubDate>
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			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-human-centered-evaluation-of-ai-generated-responses-for-cultural-sensitivity-in-large-language-models/]]></link>
			<title>A Human-Centered Evaluation of AI-Generated Responses for Cultural Sensitivity in Large Language Models</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 05:32:35 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/synthetic-data-augmentation-for-bangla-hate-speech-detection-using-slot-based-semantic-extraction-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/synthetic-data-augmentation-for-bangla-hate-speech-detection-using-slot-based-semantic-extraction-2/]]></link>
			<title>Synthetic Data Augmentation for Bangla Hate Speech Detection Using Slot-Based Semantic Extraction</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 05:27:24 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/energy-sustainability-in-bangladesh-evaluation-of-global-models-and-future-directions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/energy-sustainability-in-bangladesh-evaluation-of-global-models-and-future-directions/]]></link>
			<title>Energy Sustainability in Bangladesh: Evaluation of Global Models and Future Directions</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 05:12:32 +0000]]></pubDate>
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					<item>
			<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 05:02:17 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/demand-coupled-assessment-of-rooftop-solar-pv-integration-for-dhaka-mrt-line-6/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/demand-coupled-assessment-of-rooftop-solar-pv-integration-for-dhaka-mrt-line-6/]]></link>
			<title>Demand-Coupled Assessment of Rooftop Solar PV Integration for Dhaka MRT Line-6</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 03:58:21 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/l2l-pix-a-training-free-pixel-replacement-method-to-mitigate-unlabeled-noise-in-patch-based-hyperspectral-image-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/l2l-pix-a-training-free-pixel-replacement-method-to-mitigate-unlabeled-noise-in-patch-based-hyperspectral-image-classification/]]></link>
			<title>L2L-Pix: A Training-Free Pixel Replacement Method to Mitigate Unlabeled Noise in Patch-Based Hyperspectral Image Classification</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 03:55:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-transfer-learning-framework-based-on-efficientnetb3-for-multi-class-brain-tumor-classification-from-mri-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-transfer-learning-framework-based-on-efficientnetb3-for-multi-class-brain-tumor-classification-from-mri-images/]]></link>
			<title>An Explainable Transfer Learning Framework Based on EfficientNetB3 for Multi-Class Brain Tumor Classification from MRI Images</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 03:51:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/knowledge-augmented-ambiguity-aware-learning-for-multi-label-emotion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/knowledge-augmented-ambiguity-aware-learning-for-multi-label-emotion-detection/]]></link>
			<title>Knowledge Augmented Ambiguity Aware Learning for Multi-Label Emotion Detection</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 03:51:08 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lightskinnet-protocol-aware-skin-lesion-classification-with-segmentation-guided-networks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/lightskinnet-protocol-aware-skin-lesion-classification-with-segmentation-guided-networks/]]></link>
			<title>LightSkinNet: Protocol-Aware Skin Lesion Classification with Segmentation-Guided Networks</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 03:50:10 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robustness-and-privacy-trade-offs-in-federated-multimodal-brain-tumor-segmentation-missing-modalities-differential-privacy-and-membership-inference/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/robustness-and-privacy-trade-offs-in-federated-multimodal-brain-tumor-segmentation-missing-modalities-differential-privacy-and-membership-inference/]]></link>
			<title>Robustness and Privacy Trade-offs in Federated Multimodal Brain Tumor Segmentation: Missing Modalities, Differential Privacy, and Membership Inference</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 03:39:34 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/computer-vision-based-soil-health-analysis-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/computer-vision-based-soil-health-analysis-using-machine-learning/]]></link>
			<title>Computer Vision-based Soil Health Analysis using Machine Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 02:53:04 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-approach-to-beetle-damage-detection-of-banana-using-deep-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-efficient-approach-to-beetle-damage-detection-of-banana-using-deep-learning/]]></link>
			<title>An Efficient Approach to Beetle Damage Detection of Banana Using Deep Learning</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 02:14:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/simsighs-benchmarking-and-explaining-transformer-models-for-bengali-telecom-complaints-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/simsighs-benchmarking-and-explaining-transformer-models-for-bengali-telecom-complaints-2/]]></link>
			<title>SimSighs: Benchmarking and Explaining Transformer Models for Bengali Telecom Complaints</title>
			<pubDate><![CDATA[Sat, 05 Sep 2026 01:08:19 +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[Fri, 04 Sep 2026 23:53:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rlcb-net-a-lightweight-attention-based-network-for-rice-leaf-disease-detection-and-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/rlcb-net-a-lightweight-attention-based-network-for-rice-leaf-disease-detection-and-classification/]]></link>
			<title>RLCB-Net: A Lightweight Attention-Based Network for Rice Leaf Disease Detection and Classification</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 23:26:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-cardiovascular-disease-screening-via-uncertainty-guided-clinical-feature-acquisition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/adaptive-cardiovascular-disease-screening-via-uncertainty-guided-clinical-feature-acquisition/]]></link>
			<title>Adaptive Cardiovascular Disease Screening via Uncertainty-Guided Clinical Feature Acquisition</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 20:57:58 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vision-language-representation-learning-for-image-captioning-with-attention-based-interpretability/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/vision-language-representation-learning-for-image-captioning-with-attention-based-interpretability/]]></link>
			<title>Vision-Language Representation Learning for Image Captioning with Attention-Based Interpretability</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 20:24:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/scanrig-edge-leakage-aware-browser-native-temporal-pose-recognition-for-real-time-home-exercise-coaching/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/scanrig-edge-leakage-aware-browser-native-temporal-pose-recognition-for-real-time-home-exercise-coaching/]]></link>
			<title>ScanRig-Edge: Leakage-Aware Browser-Native Temporal Pose Recognition for Real-Time Home Exercise Coaching</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 20:08:33 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/jepa-tta-test-time-adaptation-via-latent-prediction-for-domain-shifted-medical-images/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/jepa-tta-test-time-adaptation-via-latent-prediction-for-domain-shifted-medical-images/]]></link>
			<title>JEPA-TTA -Test-Time Adaptation via Latent Prediction for Domain-Shifted Medical Images</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 19:47:13 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/murnitin-an-explainable-adversarially-robust-and-privacy-preserving-academic-integrity-framework-for-the-llm-era/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/murnitin-an-explainable-adversarially-robust-and-privacy-preserving-academic-integrity-framework-for-the-llm-era/]]></link>
			<title>Murnitin: An Explainable, Adversarially Robust and Privacy-Preserving Academic Integrity Framework for the LLM Era</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 19:42:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-evaluation-of-tree-based-models-for-binary-intrusion-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-controlled-evaluation-of-tree-based-models-for-binary-intrusion-detection/]]></link>
			<title>Leakage-Controlled Evaluation of Tree-Based Models for Binary Intrusion Detection</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 18:50:23 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-hierarchy-to-participation-how-leadership-shapes-budgetary-information-systems/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-hierarchy-to-participation-how-leadership-shapes-budgetary-information-systems/]]></link>
			<title>From Hierarchy to Participation: How Leadership Shapes Budgetary Information Systems</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 18:10:30 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unsupervised-eeg-based-subgroup-discovery-in-alzheimers-disease-using-spectral-and-temporal-features-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/unsupervised-eeg-based-subgroup-discovery-in-alzheimers-disease-using-spectral-and-temporal-features-2/]]></link>
			<title>Unsupervised EEG-Based Subgroup Discovery in Alzheimer’s Disease Using Spectral and Temporal Features</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:58:03 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leak-free-re-evaluation-of-augmented-alzheimers-mri-with-deep-neural-network-models/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leak-free-re-evaluation-of-augmented-alzheimers-mri-with-deep-neural-network-models/]]></link>
			<title>A leak free re-evaluation of augmented Alzheimers mri with deep neural network models</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:48:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/stellar-emission-waves-radiation-prediction-from-the-measurement-of-brightness-hours-of-sun-in-some-bangladeshi-regions/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/stellar-emission-waves-radiation-prediction-from-the-measurement-of-brightness-hours-of-sun-in-some-bangladeshi-regions/]]></link>
			<title>Solar Power Prediction in Coastal Zones of Bangladesh: A Hybrid Empirical-Machine Learning Approach for the Teknaf 20 MW Solar Power Plant</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:05:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/solar-power-prediction-in-coastal-zones-of-bangladesh-a-hybrid-empirical-machine-learning-approach-for-the-teknaf-20-mw-solar-power-plant/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/solar-power-prediction-in-coastal-zones-of-bangladesh-a-hybrid-empirical-machine-learning-approach-for-the-teknaf-20-mw-solar-power-plant/]]></link>
			<title>Solar Power Prediction in Coastal Zones of Bangladesh: A Hybrid Empirical-Machine Learning Approach for the Teknaf 20 MW Solar Power Plant</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 17:02:32 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segmentation-guided-attention-transfer-learning-for-breast-cancer-classification-in-digital-mammography/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/segmentation-guided-attention-transfer-learning-for-breast-cancer-classification-in-digital-mammography/]]></link>
			<title>Segmentation-Guided Attention Transfer Learning for Breast Cancer Classification in Digital Mammography</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:49:20 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/uncovering-healthcare-concerns-among-bangladeshi-patients-seeking-medical-care-in-india-using-bertopic/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/uncovering-healthcare-concerns-among-bangladeshi-patients-seeking-medical-care-in-india-using-bertopic/]]></link>
			<title>Uncovering Healthcare Concerns Among Bangladeshi Patients Seeking Medical Care in India Using BERTopic</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:39:18 +0000]]></pubDate>
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			<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[Fri, 04 Sep 2026 16:38:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fairmoe-surv-a-fairness-gated-neuro-symbolic-mixture-of-experts-for-equitable-clinical-risk-prediction-with-cross-cohort-validation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fairmoe-surv-a-fairness-gated-neuro-symbolic-mixture-of-experts-for-equitable-clinical-risk-prediction-with-cross-cohort-validation/]]></link>
			<title>FairMoE-Surv: A Fairness-Gated Neuro-Symbolic Mixture-of-Experts for Equitable Clinical Risk Prediction with Cross-Cohort Validation</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:37:38 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cmsa-net-cross-modal-sparse-attention-and-generative-representation-repair-for-multimodal-classification-under-missing-inputs/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/cmsa-net-cross-modal-sparse-attention-and-generative-representation-repair-for-multimodal-classification-under-missing-inputs/]]></link>
			<title>CMSA-Net: Cross-Modal Sparse Attention and Generative Representation Repair for Multimodal Classification Under Missing Inputs</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:35:58 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-framework-for-cybercrime-topic-discovery-and-sentiment-analysis-in-bangladeshi-facebook-posts/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-deep-learning-framework-for-cybercrime-topic-discovery-and-sentiment-analysis-in-bangladeshi-facebook-posts/]]></link>
			<title>A Deep Learning Framework for Cybercrime Topic Discovery and Sentiment Analysis in Bangladeshi Facebook Posts</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:32:36 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-breast-cancer-detection-with-web-application/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/deep-learning-based-breast-cancer-detection-with-web-application/]]></link>
			<title>Deep Learning Based Breast Cancer Detection With Web Application</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 16:31:09 +0000]]></pubDate>
		</item>
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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>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 16:24:49 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/agroneuro-guardian-an-integrated-iot-tinyml-framework-for-autonomous-irrigation-control-and-flood-prevention-in-precision-agriculture-3/]]></guid>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 16:13:38 +0000]]></pubDate>
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			<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>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 16:07:35 +0000]]></pubDate>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 15:58:59 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/architecture-of-a-resilient-root-level-iot-communication-infrastructure-for-multi-hazard-natural-disasters-in-bangladesh/]]></guid>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 15:47:20 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/seednet-a-lightweight-fine-tuned-deep-learning-framework-for-plant-seedling-classification-in-precision-agriculture/]]></guid>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-explainable-deep-learning-approach-for-multi-class-lung-disease-classification-from-chest-x-rays-with-fused-gradcam-localization/]]></guid>
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			<pubDate><![CDATA[Fri, 04 Sep 2026 14:50:18 +0000]]></pubDate>
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