Bangabandhu and Digital Bangladesh

Chapter 1 Dengue Outbreak Prediction from Weather Aware Data

Chapter 2 A Dynamic Approach to Identify the Most Significant Biomarkers for Heart Disease Risk Prediction Utilizing Machine Learning Techniques

Chapter 3 A Feasible Approach to Predict Survival Rates Post Lung Surgery Utilizing Machine Learning Techniques

Chapter 4 Cardiac Abnormality Prediction Using Multiple Machine Learning Approaches

Chapter 5 COVID-19 Detection from Lung CT Scan Using Transfer Learning Models

Chapter 6 Statistical Analysis and Clustering of Dengue Incidents and Weather Data of Bangladesh Using K-Means Clustering

Chapter 7 AI Reception: An Intelligent Bengali Receptionist System Integrating with Face, Speech, and Interaction Recognition

Chapter 8 A Real-Time Junk Food Recognition System Based on Machine Learning

Chapter 9 Inference of Gene Regulatory Network (GRN) from Gene Expression Data Using K-Means Clustering and Entropy Based Selection of Interactions

Chapter 10 From Competition to Collaboration: Ensembling Similarity-Based Heuristics for Supervised Link Prediction in Biological Graphs

Chapter 11 Mental Disability Detection of Children Using Handwriting Analysis

Chapter 12 Electrocardiogram Signal Analysis Based on Statistical Approaches Using K-Nearest Neighbor

Chapter 13 Telekit: An IoT Based Wearable Health Assistant with Machine Learning Approach

Chapter 14 An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning

Chapter 15 New Model to Store and Manage Private Healthcare Records Securely Using Block Chain Technologies

Chapter 16 Secure and Transparent Supply Chain Management to Prevent Counterfeit Drugs