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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.

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