| S.No | Project Code | Machine learning Project Topics | |
|---|---|---|---|
| Machine learning Projects | |||
| 1 | ML01 | Data-Driven Capacity Estimation of Li-Ion Batteries Using Constant Current Charging at Various Ambient Temperatures | |
| 2 | ML02 | Approaches to Overpower Proof-of-Work Blockchains Despite Minority | |
| 3 | ML03 | Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective | |
| 4 | ML04 | Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey | |
| 5 | ML05 | Categorical Diversity-Aware Inner Product Search | |
| 6 | ML06 | Graph Neural Network for Air Quality Prediction: A Case Study in Madrid | |
| 7 | ML07 | PANCODE: Multilevel Partitioning of Neural Networks for Constrained Internet-of-Things Devices | |
| 8 | ML08 | A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm | |
| 9 | ML09 | GeFL: Gradient Encryption-Aided Privacy Preserved Federated Learning for Autonomous Vehicles | |
| 10 | ML10 | Proactive Random-Forest Autoscaler for Microservice Resource Allocation | |
| 11 | ML11 | Brazilian scientific productivity from a gender perspective during the Covid-19 pandemic: classification and analysis via machine learning | |
| 12 | ML12 | Radiofrequency Signal Levels Predition Using Machine Learning Models | |
| 13 | ML13 | Review of Intelligent Algorithms for Breast Cancer Control: a Latin America Perspective | |
| 14 | ML14 | Machine Learning-Based Online Coverage Estimator (MLOE): Advancing Mobile Network Planning and Optimization | |
| 15 | ML15 | Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction | |
| 16 | ML16 | Eye-Tracking Image Encoding: Autoencoders for the Crossing of Language Boundaries in Developmental Dyslexia Detection | |
| 17 | ML17 | SDOT: Secure Hash, Semantic Keyword Extraction, and Dynamic Operator Pattern-Based Three-Tier Forensic Classification Framework | |
| 18 | ML18 | Predictive Model Of Employee Attrition Based On Stacking Ensemble Learning | |
| 19 | ML19 | Smart Email Categorization | |
| 20 | ML20 | A Hybrid Convolutional Neural Network Model For Automatic Diabetic Retinopathy Classification From Fundus Images | |
| 21 | ML21 | Classification of Polluted Silicone Rubber Insulators by Using LIBS Assisted Machine Learning Techniques | |
| 22 | ML22 | Machine Learning for Emergency Management: A Survey and Future Outlook | |
| 23 | ML23 | Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review | |
| 24 | ML24 | Personalization of Control Systems by Policy Update With Improving User Trust | |
| 25 | ML25 | PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors | |