NPS Australia Submission System https://validator.w3.org/feed/docs/rss2.html Unsupervised EEG-Based Subgroup Discovery in Alzheimer’s Disease Using Spectral and Temporal Features Predictive Uncertainty for Mammography Classification Failure Detection: Limited Incremental Value of Saliency-Map Instability A Gender-focused Multi-level Data Analysis and Visualization of Academic Research and Collaboration in Bangladesh A Two-Stage Global-Scan Fuzzy Logic MPPT for Grid-Connected PV Systems Under Partial Shading Conditions Machine Learning-Assisted Confinement Loss Prediction for a Highly Sensitive PCF-SPR Sensor An Explainable Hybrid Deep Learning Framework for Retinal Disease Classification Using DenseNet201 and SHAP-Optimized xLSTM Deep-Learning-Guided Particle Swarm Optimisation for Multi-Objective Indoor Access Point Placement Interpretable Student Academic Performance Analysis Using Hybrid Feature Selection and Explainable Artificial Intelligence Elevating Skin Cancer Diagnosis: A Study of Various Machine Learning Approaches BanglaSentiEmo: Cross-Task Affective Structure from a Shared BanglaBERT Encoder for Joint Sentiment-Emotion Classification in Bengali Picture Fuzzy Aggregating Operators in Soft Computing Economic Prospects and Challenges of Solar Energy Adoption in Bangladeshi Households Immersive Virtual Reality for Computer Hardware Education: A Pilot Usability and Workload Study with Information Technology Students Pooled and Compromised: A Leakage Audit of a Popular MRI Benchmark The Simulator Gap: Benchmarking Facial Landmark Detection from Scratch Investigation of Electromagnetic Energy Absorption and Thermal Response of Layered Biological Tissues Broken Tokenisers and Batch-Ordered Corpora: An Audit of Bangla Religious Hate Speech Detection Binary and Multiclass Intrusion Detection in IoMT Networks: Comparative Machine Learning with McNemar Testing and XAI Statistically Validated Benchmarking of Federated Learning Optimizers for Binary Intrusion Detection in Imbalanced IoMT Traffic BAGC-FL: Benign-Anchor Gradient Correction for Imbalance-Aware Federated Intrusion Detection in IoMT Networks Explainable 3D Swin Transformer for Tumor Mass Presence Classification and Quantitative Localization in Pancreatic CT: A Comparative Study When Technostress Drains and Autonomy Protects: How Organizational Support Sustains Employee Well-Being in Hybrid Work A Class-Wise Error and Misclassification Analysis of Deep Learning Models for Industrial IoT Intrusion Detection Robust Federated IIoT Intrusion Detection Under Byzantine Label-Poisoning Attacks: Class-Wise and Client-Wise Analysis on DataSense Performance Optimization of a 3 GHz Double Inset Fed Microstrip Patch Antenna for Advanced Wireless Systems international equity markets, market integration, financial contagion, volatility, correlation analysis, risk-adjusted return, stationarity, Jarque–Bera test, Augmented Dickey–Fuller test. Cross-Market Performance, Risk, and Integration Dynamics of World Equity Indices: A Seven-Year Empirical Analysis 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 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