NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html NPS Australia Submission System MathAssist: An Interactive Mobile Application for Mathematics Learners Specially for Developing Countries Using AI, LLM And RAG Based Approach MathAssist: An Interactive Mobile Application for Mathematics Learners Specially for Developing Countries Using AI, LLM And RAG Based Approach AI-Driven Resume Classification and Job Recommendation System AI-Driven Resume Classification and Job Recommendation System Credit Approval System using Semi-Supervised Learning A Memory-Efficient Bi-GRU Based Intrusion Detection System with Attention and Probability Calibration for Uncertainty Estimation On-Device Plant Disease Detection with CNN and Random Forest Ensembles Multi-Granularity Self-Consistency Entropy for Large Language Model Hallucination Detection: Informative Insights Across Fabrication-Prone and Refusal-Prone Model Regimes Development of a Real-Time Fall Detection Prototype with Transition Dynamics Using an IR Camera and IoT Alert System Sine Cosine Algorithm-Based Proportional-Integral Controller for Low Voltage Ride Through Enhancement in Grid-Connected Photovoltaic Systems A Bangla Speech Dataset for Sentence Type and Emotion Classification Using Traditional Machine Learning THE CONNECTION BETWEEN CLIMATE CHANGE AND HEALTH STATUS IN GLOBAL: ADDRESSING THE SDG 3 AND 13 Remote Sensing Imagery for Crop Yield Prediction Using Confidence-Weighted Ensemble Model with Explainable AI Solar Power Prediction using Meta-Residual Booster with Explainable AI Unified Risk Stratification for Postpartum Depression, Anxiety, and Birth Trauma A Low-Cost Multi-Layer Water Filtration Prototype: Design and Experimental Evaluation A Lightweight Hybrid CNN-Transformer Architecture for Interpretable Evil Twin Attack Detection in Wi-Fi Networks An Intelligent Hybrid Framework Integrating PERT/CPM, COCOMO, SLIM, Machine Learning, and Multi-Agent Systems for Software Project Schedule Planning and Risk Prediction Low-Cost Embedded Stereo Depth Estimation Using Dual ESP32-CAM Modules for Robotics Applications Enhanced Dental Caries Localization in Intraoral Photographs Through Hierarchical Feature Learning and Multi-Scale Fusion New paper by Rashed Multi-Dataset Dermatological Lesion Classification via Self-Supervised Feature Extraction and Attention-Driven Hybrid Resampling Networks KishiNet: A Lightweight Hybrid CNN–Transformer Architecture with an Attention and Out-of-Distribution Rejection Mechanism for Explainable Multi-Crop Plant Disease Detection and Mobile Deployment Explainable Deep Learning-Based Breast Cancer Classification Using Histopathological Images: A Comparative Study of CNN and Vision Transformer Architectures Grading the Sweetness Level for Watermelon on Random Forest and Support Vector Machine Polynomial Load Curve Modeling and Coyote Optimization Algorithm for Demand Side Management Under Time-of-Use Tariffs Anchor-Free vs. Anchor-Based Detectors for Multi-Scale Thermal Anomaly Detection in Solar PV Fields: An Empirical Study Automated Vehicle Plate Number Recognition System using YOLOv4 A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images A Lightweight Ensemble Deep Learning Framework for Automated Malaria Parasite Detection from Microscopic Blood Cell Images An ROI-Guided Explainable Deep Ensemble Framework for Kidney Stone Detection from Coronal CT Images Machine Learning-Based Multi-Crop Soil Suitability Classification for the Bogura Region of Bangladesh Smell-Augmented Symbolic Regression for Explainable Cross-Project Defect Prediction SpecSynLite: Localization-Guided Residual Harmonic Synthesis for Energy-Efficient Real-Time Speech Enhancement Conformal Influence-Driven Realignment (CIDR): A Framework for Restoring Model Reliability under Distribution Shift EdgeSepLoc: A Lightweight Multi-Task Network for Real-Time Speech Enhancement and Spectral Localization on Resource-Constrained Devices AI Large Language Model-Based Framework for Intelligent Software Test Automation Explainable Hybrid Deep Learning Framework for Alzheimer’s Disease Classification using Cross-Attention Fusion Development of a Thematic Approach for Sustainable Green Campuses for Higher Education Institutions (HEIs): Bangladesh Perspective A Lightweight CBAM-ECGnet for Explainable Arrhythmia Classification SHAP Feature Attribution Consistency in Diabetes Prediction: Disentangling Feature Availability from Population and Label Differences Testing Paper Submission CalForget: Calibration-Driven Selective Forgetting via Conformal Influence Attribution HemaVision: EfficientNetV2 and CBAM-Based Explainable AI for Morphological White Blood Cell Classification and Clinical decision Support Toward Intelligent Cauliflower Disease Recognition: A CLAHE-Enhanced Image Processing and SVM-Based Classification Framework Order Without Memory: Does Sequential Modeling Actually Help Log-Based Anomaly Detection, or Just the Vocabulary? Beyond Two Modalities: Power–Network–Host Fusion for Electric Vehicle Charging Station Attack Detection — A Controlled Ablation Study Amar Surokha: An Integrated Mobile Application for Spatiotemporal Crime Prediction and Emergency Contact Management