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		<title>NPS Australia Submission System</title>
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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[Thu, 08 Oct 2026 19:03:56 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-ai-based-dual-domain-deep-network-for-brain-tumor-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/explainable-ai-based-dual-domain-deep-network-for-brain-tumor-classification/]]></link>
			<title>Explainable AI Based Dual-Domain Deep Network for Brain Tumor Classification</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 19:00:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglaclr-structure-aware-contrastive-representation-learning-for-bengali-character-recognition/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banglaclr-structure-aware-contrastive-representation-learning-for-bengali-character-recognition/]]></link>
			<title>BanglaCLR: Structure-Aware Contrastive Representation Learning for Bengali Character Recognition</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 18:41:48 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/self-supervised-learning-for-brain-mri-classification-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/self-supervised-learning-for-brain-mri-classification-using-machine-learning/]]></link>
			<title>Self-Supervised Learning for Brain MRI Classification using Machine Learning</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 18:30:24 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/poultry-farm-micro-climate-controller/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/poultry-farm-micro-climate-controller/]]></link>
			<title>Poultry Farm Micro-Climate Controller</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 18:19:02 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-arterial-network-resilience-post-mass-transit-integration-a-hybrid-simulation-and-empirical-corridor-study/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/evaluating-arterial-network-resilience-post-mass-transit-integration-a-hybrid-simulation-and-empirical-corridor-study/]]></link>
			<title>Evaluating Arterial Network Resilience Post-Mass Transit Integration: A Hybrid Simulation and Empirical Corridor Study</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 17:59:22 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hemastack-harnessing-heterogeneous-stacking-with-neural-meta-learning-and-dual-explainability-for-cost-effective-dengue-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/hemastack-harnessing-heterogeneous-stacking-with-neural-meta-learning-and-dual-explainability-for-cost-effective-dengue-diagnosis/]]></link>
			<title>HemaStack: Harnessing Heterogeneous Stacking with Neural Meta-Learning and Dual Explainability for Cost-Effective Dengue Diagnosis</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 17:51:11 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/breastsegx-a-pipeline-for-high-fidelity-breast-ultrasound-lesion-segmentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/breastsegx-a-pipeline-for-high-fidelity-breast-ultrasound-lesion-segmentation/]]></link>
			<title>BreastSegX: A Pipeline for High-Fidelity Breast Ultrasound Lesion Segmentation</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 15:38:41 +0000]]></pubDate>
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					<item>
			<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[Thu, 08 Oct 2026 14:26:54 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iot-based-low-cost-intelligent-air-quality-monitoring-and-self-calibrated-autonomous-purification-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/iot-based-low-cost-intelligent-air-quality-monitoring-and-self-calibrated-autonomous-purification-system/]]></link>
			<title>IoT-Based Low-Cost Intelligent Air-Quality Monitoring and Self-Calibrated Autonomous Purification System</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 14:06:01 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-aware-ordinal-prequential-forecasting-of-district-level-conflict-severity-in-bangladesh/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/leakage-aware-ordinal-prequential-forecasting-of-district-level-conflict-severity-in-bangladesh/]]></link>
			<title>Leakage-Aware Ordinal Prequential Forecasting of District-Level Conflict Severity in Bangladesh</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 13:25:20 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-knowledge-distilled-cnn-for-real-time-waste-classification-on-edge-devices/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-knowledge-distilled-cnn-for-real-time-waste-classification-on-edge-devices/]]></link>
			<title>A Lightweight Knowledge-Distilled CNN for Real-Time Waste Classification on Edge Devices</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 13:12:41 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-tabular-transformer-based-deep-learning-framework-for-flood-prediction-using-long-term-meteorological-data-from-bangladesh-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-tabular-transformer-based-deep-learning-framework-for-flood-prediction-using-long-term-meteorological-data-from-bangladesh-2/]]></link>
			<title>A Tabular Transformer-Based Deep Learning Framework for Flood Prediction Using Long-Term Meteorological Data from Bangladesh</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 13:06:35 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-eggplant-disease-detection-using-feature-fusion-based-cnn-with-explainable-ai-for-precision-agriculture/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/automated-eggplant-disease-detection-using-feature-fusion-based-cnn-with-explainable-ai-for-precision-agriculture/]]></link>
			<title>Automated Eggplant Disease Detection Using Feature Fusion Based CNN with Explainable AI for Precision Agriculture</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 13:05:29 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/eam-xai-auditing-malware-identifier-overlap-with-a-hybrid-behavioral-retrieval-framework/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/eam-xai-auditing-malware-identifier-overlap-with-a-hybrid-behavioral-retrieval-framework/]]></link>
			<title>EAM-XAI: Auditing Malware-Identifier Overlap with a Hybrid Behavioral–Retrieval Framework</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 13:02:30 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fruits-classification-using-a-custom-dataset-and-ensemble-cnn-models-with-real-time-web-based-deployment/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/fruits-classification-using-a-custom-dataset-and-ensemble-cnn-models-with-real-time-web-based-deployment/]]></link>
			<title>Fruits Classification Using a Custom Dataset and Ensemble CNN Models with Real-Time Web-Based Deployment</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 12:56:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-plasma-cell-detection-framework-with-knowledge-distillation-based-feature-refinement-for-multiple-myeloma-diagnosis-2/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-lightweight-plasma-cell-detection-framework-with-knowledge-distillation-based-feature-refinement-for-multiple-myeloma-diagnosis-2/]]></link>
			<title>A Lightweight Plasma Cell Detection Framework with Knowledge Distillation Based Feature Refinement for Multiple Myeloma Diagnosis</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 12:41:29 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-end-to-end-deep-learning-framework-for-animal-classification-with-ensemble-cnns-and-web-deployment/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-end-to-end-deep-learning-framework-for-animal-classification-with-ensemble-cnns-and-web-deployment/]]></link>
			<title>An End-to-End Deep Learning Framework for Animal Classification with Ensemble CNNs and Web Deployment</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 12:39:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-first-come-first-served-to-eevdf-an-empirical-survey-of-cpu-scheduling-using-google-borg-cluster-traces/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/from-first-come-first-served-to-eevdf-an-empirical-survey-of-cpu-scheduling-using-google-borg-cluster-traces/]]></link>
			<title>From First-Come-First-Served to EEVDF: An Empirical Survey of CPU Scheduling Using Google Borg Cluster Traces</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 12:03:23 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reducing-perishable-food-loss-through-forecast-driven-stochastic-capacity-planning-quantifying-value-scalability-and-transfer-under-supply-side-uncertainty/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/reducing-perishable-food-loss-through-forecast-driven-stochastic-capacity-planning-quantifying-value-scalability-and-transfer-under-supply-side-uncertainty/]]></link>
			<title>Reducing Perishable Food Loss Through Forecast-Driven Stochastic Capacity Planning: Quantifying Value, Scalability, and Transfer Under Supply-Side Uncertainty</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 11:26:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multihead-attention-based-cnn-bilstm-for-aquatic-plant-classification/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multihead-attention-based-cnn-bilstm-for-aquatic-plant-classification/]]></link>
			<title>Multihead Attention Based CNN BiLSTM for Aquatic Plant Classification</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 11:16:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-and-explainability-of-modern-deep-learning-models-for-brain-tumor-mri-segmentation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/performance-and-explainability-of-modern-deep-learning-models-for-brain-tumor-mri-segmentation/]]></link>
			<title>Performance and Explainability of Modern Deep Learning Models for Brain Tumor MRI Segmentation</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 11:07:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/time-aware-explainable-machine-learning-for-co2-emission-analysis-in-bangladesh-decoupling-decomposition-and-2030-scenarios/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/time-aware-explainable-machine-learning-for-co2-emission-analysis-in-bangladesh-decoupling-decomposition-and-2030-scenarios/]]></link>
			<title>Time-Aware Explainable Machine Learning for CO2 Emission Analysis in Bangladesh: Decoupling, Decomposition, and 2030 Scenarios</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 11:02:21 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-brain-tumor-mri-classification-using-efficientnet-based-hybrid-attention-network/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/multi-class-brain-tumor-mri-classification-using-efficientnet-based-hybrid-attention-network/]]></link>
			<title>Multi-Class Brain Tumor MRI Classification Using EfficientNet Based Hybrid Attention Network</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 10:53:42 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-assisted-confinement-loss-prediction-for-a-highly-sensitive-pcf-spr-sensor/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/machine-learning-assisted-confinement-loss-prediction-for-a-highly-sensitive-pcf-spr-sensor/]]></link>
			<title>Machine Learning-Assisted Confinement Loss Prediction for a Highly Sensitive PCF-SPR Sensor</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 10:30:12 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-multi-backbone-deep-learning-framework-with-learnable-attention-fusion-for-explainable-potato-leaf-disease-detection/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-hybrid-multi-backbone-deep-learning-framework-with-learnable-attention-fusion-for-explainable-potato-leaf-disease-detection/]]></link>
			<title>A Hybrid Multi-Backbone Deep Learning Framework with Learnable Attention Fusion for Explainable Potato Leaf Disease Detection</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 10:22:05 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banana-leaf-disease-classification-using-explainable-deep-learning-for-farmer-oriented-advisory-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/banana-leaf-disease-classification-using-explainable-deep-learning-for-farmer-oriented-advisory-system/]]></link>
			<title>Banana Leaf Disease Classification Using Explainable Deep Learning For Farmer-Oriented Advisory System</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 10:13:45 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-multi-scale-lesion-attention-transformer-framework-with-retrieval-augmented-farmer-guidance-for-onion-leaf-disease-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-intelligent-multi-scale-lesion-attention-transformer-framework-with-retrieval-augmented-farmer-guidance-for-onion-leaf-disease-diagnosis/]]></link>
			<title>An Intelligent Multi-Scale Lesion Attention Transformer Framework with Retrieval-Augmented Farmer Guidance for Onion Leaf Disease Diagnosis</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 10:11:14 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physical-layer-security-analysis-of-ris-assisted-hybrid-fso-rf-networks-for-secure-iot-communications-under-potential-eavesdropping-attacks/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/physical-layer-security-analysis-of-ris-assisted-hybrid-fso-rf-networks-for-secure-iot-communications-under-potential-eavesdropping-attacks/]]></link>
			<title>Physical Layer Security Analysis of RIS-assisted Hybrid FSO/RF Networks for Secure IoT Communications under Potential Eavesdropping Attacks</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 09:59:36 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-modular-distributed-iot-architecture-for-closed-loop-hydroponic-monitoring-and-control-with-image-based-plant-observation/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-modular-distributed-iot-architecture-for-closed-loop-hydroponic-monitoring-and-control-with-image-based-plant-observation/]]></link>
			<title>A Modular Distributed IoT Architecture for Closed-Loop Hydroponic Monitoring and Control with Image-Based Plant Observation</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 09:59:04 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-development-of-a-low-cost-iot-based-smart-kitchen-safety-and-automation-system/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/design-and-development-of-a-low-cost-iot-based-smart-kitchen-safety-and-automation-system/]]></link>
			<title>Design and Development of a Low-Cost IoT-Based Smart Kitchen Safety and Automation System</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 09:57:05 +0000]]></pubDate>
		</item>
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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>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/tinyml-powered-real-time-rotating-machinery-fault-detection-using-vibration-spectral-analysis-on-esp32-2/]]></link>
			<title>TinyML Powered Real Time Rotating Machinery Fault Detection Using Vibration Spectral Analysis on ESP32</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 09:51:07 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-android-assisted-accurate-transfer-learning-framework-for-alzheimers-disease-diagnosis/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/an-android-assisted-accurate-transfer-learning-framework-for-alzheimers-disease-diagnosis/]]></link>
			<title>An Android-Assisted Accurate Transfer Learning Framework for Alzheimer’s Disease Diagnosis</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 09:09:50 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/analysis-and-prediction-of-digital-distractions-impact-on-academic-performance-in-online-learning-using-machine-learning/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/analysis-and-prediction-of-digital-distractions-impact-on-academic-performance-in-online-learning-using-machine-learning/]]></link>
			<title>Analysis and Prediction of Digital Distractions’ Impact on Academic Performance in Online Learning Using Machine Learning</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 09:05:46 +0000]]></pubDate>
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			<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[Thu, 08 Oct 2026 08:23:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/retrieval-augmented-legal-question-answering-using-hybrid-semantic-search/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/retrieval-augmented-legal-question-answering-using-hybrid-semantic-search/]]></link>
			<title>Retrieval-Augmented Legal Question Answering Using Hybrid Semantic Search</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 07:42:51 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/trisense-ai-a-non-circular-evaluation-of-lstm-dbscan-xgboost-fusion-for-industrial-predictive-maintenance/]]></guid>
			<link><![CDATA[https://nps-ss.com.au/nps-paper-submissions/trisense-ai-a-non-circular-evaluation-of-lstm-dbscan-xgboost-fusion-for-industrial-predictive-maintenance/]]></link>
			<title>Why Fixed-Weight Fusion Fails: A Non-Circular Evaluation of LSTM–DBSCAN–XGBoost for Predictive Maintenance</title>
			<pubDate><![CDATA[Thu, 08 Oct 2026 07:40:12 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/calibrated-and-explainable-credit-risk-assessment-integrating-shap-analysis-with-feature-stability-validation/]]></guid>
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			<pubDate><![CDATA[Thu, 08 Oct 2026 07:34:31 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/a-leakage-free-ml-framework-for-cycle-count-prioritization-in-multi-depot-distribution-networks/]]></guid>
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			<pubDate><![CDATA[Thu, 08 Oct 2026 07:31:11 +0000]]></pubDate>
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			<guid><![CDATA[https://nps-ss.com.au/nps-paper-submissions/confidence-aware-retrieval-augmented-generation-with-abstention-for-cyber-threat-intelligence/]]></guid>
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