NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html Do Macroeconomic Predictors Improve Bangladesh Inflation Forecasts? A Leakage-Safe Econometric and Machine-Learning Evaluation, 2010-2025 Abstract- This study evaluates whether lagged macroeconomic indicators improve Real-Time Plant Disease Classification and Targeted Remedial Strategies Using Few-Shot Learning in Mobile Applications An Explainable and Class-Balanced Gradient Boosting Framework for Heart Disease Prediction Explainable 3D Swin Transformer for Tumor Mass Presence Classification and Quantitative Localization in Pancreatic CT: A Comparative Study Psychological Perception of Conversational AI among tech-engaged youth in Bangladesh Design and Analysis of LP01 Mode Hollow-Core Anti-Resonant Fiber with Hybrid Elliptical Geometry NPS Australia Submission System An Explainable Multi-Objective Genetic Algorithm Framework for Healthcare Fraud Detection Explainable Machine Learning for IoMT Intrusion Detection: A Comparative Benchmark of PySpark and Scikit-learn FedXDDoS: An Explainable Federated Learning Framework for DDoS Attack Detection From Verification to Forecasting: Monitoring Official Crime Trends in Bangladesh An Explainable Attention Enhanced Model for Breast Cancer Detection Automated Bug Detection, Root-Cause Theme Discovery, and Solution Recommendation Using Large Language Models Evaluating Provenance-Based Defenses Against Prompt Injection in LLM Agents: What Taint Tracking Can and Cannot See Deep Reinforcement Learning for Adaptive Bitrate Control in Rural Telemedicine Networks Green Edge AI for Chest X-Ray Pneumonia Diagnosis: An EADA Benchmark GreenHybridECGNet: Edge-Federated CNN-Transformers for Arrhythmia Classification Physics-Informed Machine Learning for Route Feasibility Prediction in Quantum Networks Experimental Assessment of an IoT Home Energy Management System Integrating Dual Axis Solar Tracking and Net Energy Analysis Grading the Sweetness Level for Watermelon on Random Forest and Support Vector Machine Explainable Multi-Class Mental Health Detection from Social Media Text Using Machine Learning and Transformer Models: A Comparative Study with Multi-Level SHAP Analysis Clustering-Based Undersampling Using K-Means for Class-Imbalanced Data Decentralizing Dengue Diagnostics: Federated Knowledge Distillation Across Heterogeneous Modalities via Edge Transpilation Leakage-Free, Calibrated, and Explainable Machine Learning for Heart-Disease Screening from Large-Scale BRFSS Survey Data Enhancing Bark-Based Tree Species Recognition through Hierarchical Local and Global Feature Learning Interpretable Short-Term Electricity Demand Forecasting for the PGCB Grid Using Feature Fusion Picture Fuzzy Aggregating Operators in Soft Computing A Super-Convergent Knowledge Distillation Framework for Domain-Specific Text Classification Agentic AI in Software Engineering: Evidence from Production Software and Future Directions for Developing Countries ScanRig-Edge: Leakage-Aware Browser-Native Temporal Pose Recognition for Real-Time Home Exercise Coaching End-to-End Explainable Stacked Ensemble Framework for Used Bike Price Prediction Using Real-World Marketplace Data Privacy-Preserving Sentiment Analysis using PATE-based Federated Learning Explainable Ensemble Learning for Sales Forecasting and Product Ranking in Retail Automated Code Smell Detection for Software Quality Assurance Using a Web-Based Machine Learning Framework VeriFake: A TF-IDF and Ensemble Learning Framework for Web-Based Fake News Detection Integrating Deep CNN Models for Multilingual Sign Language Recognition: A SignLink-Based Approach for Bengali and English “Can AI replace human connection?” A study exploring human connection and emotional companionship. Graph Neural Network with Graph-Conditioned Sequential Readout for Fault Localization in Power Grids Soft Voting Ensemble with Explainable AI for Sustainable Crop Recommendation From Text to Beams: Understanding the Role of Representation, Generation, and Linear Decodability for LLM-Based mmWave Beam Prediction Breaking BERT: A Comprehensive Study of Transformer Robustness to Linguistically Grounded Semantic Perturbations MedlmBD: An AI-Driven Framework for Bengali Healthcare Query Management Energy-Efficient Multimodal AI for Optimizing Crop Yields in Smart Agriculture From First-Come-First-Served to EEVDF: An Empirical Survey of CPU Scheduling Using Google Borg Cluster Traces Predicting E-Learning Efficacy and Gap Closure in Post-Pandemic Higher Education Using Machine Learning Domain-Adaptive Fusion of Wavelet-Entropy and wPLI Graph Attention for Cross-Dataset EEG Seizure Detection International Participant Bangladeshi Participant Multi-Dataset Dermatological Lesion Classification via Self-Supervised Feature Extraction and Attention-Driven Hybrid Resampling Networks When Technostress Drains and Autonomy Protects: How Organizational Support Sustains Employee Well-Being in Hybrid Work