Bangabandhu and Digital Bangladesh

Dengue Outbreak Prediction from Weather Aware Data.- A Dynamic Approach to Identify the Most Significant Biomarkers for Heart Disease Risk Prediction utilizing Machine Learning Techniques.- A Feasible Approach to Predict Survival Rates Post Lung Surgery Utilizing Machine Learning Techniques.- Cardiac Abnormality Prediction Using Multiple Machine Learning Approaches.- COVID-19 Detection from Lung CT Scan Using Transfer Learning Models Nazmus Shakib Shadin.- Statistical Analysis and Clustering of Dengue Incidents and Weather Data of Bangladesh Using K- means Clustering.- AI Reception: An Intelligent Bengali Receptionist System Integrating with Face, Speech, and Interaction Recognition.- A Real-time Junk Food Recognition System based on Machine Learning.- Inference of Gene Regulatory Network (GRN) From Gene Expression Data Using K-means Clustering and Entropy Based Selection of Interactions.- From competition to collaboration: Ensembling similarity-based heuristics for supervised link prediction in biological graphs.- Mental disability detection of children using Handwriting Analysis.- Electrocardiogram Signal Analysis Based on Statistical Approaches Using K-Nearest Neighbor.- Telekit: An IoT Based Wearable Health Assistant With Machine Learning Approach.- An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning.- New Model to Store and Manage Private Healthcare Records Securely Using Block Chain Technologies.- Secure and Transparent Supply Chain Management to Prevent Counterfeit Drugs.