Machine Learning
Machine Learning
CSE PROJECTS (2020-2021)
S.NO. | TOPIC NAME | Year | DOWNLOAD |
DST ML 01 | Pymoo: Multi-objective Optimization in Python | 2020 | Download |
DST ML 02 | Performance Evaluation of Machine Learning in Wireless Connected Robotics Swarms |
2020 | Download |
DST ML 03 | Synthetic NET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond |
2020 | Download |
DST ML 04 | Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry |
2020 | Download |
DST ML 05 | A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems |
2020 | Download |
DST ML 06 | Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning |
2020 | Download |
DST ML 07 | Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network |
2020 | Download |
DST ML 08 | An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines |
2020 | Download |
DST ML 09 | Flexible Machine Learning Based Cyber attack Detection Using Spatiotemporal Patterns for Distribution Systems |
2020 | Download |
DST ML 10 | Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning |
2020 | Download |
DST ML 11 | Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets |
2020 | Download |
DST ML 12 | COVID-19 Future Forecasting Using Supervised Machine Learning Models |
2020 | Download |
DST ML 13 | A Novel Software Engineering Approach Toward Using Machine Learning for Improving the Efficiency of Health Systems |
2020 | Download |
DST ML 14 | Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine |
2019 | Download |
DST ML 15 | A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing |
2019 | Download |
DST ML 16 | A Method for Sensor Reduction in a Supervised Machine Learning Classification System |
2019 | Download |
DST ML 17 | Dynamic Auto-selection and Auto-tuning of Machine Learning Models for Cloud Network Analytics |
2019 | Download |
DST ML 18 | Automatically Evaluating Balance: A Machine Learning Approach |
2019 | Download |
DST ML 19 | Fast and Communication-Efficient Algorithm for Distributed Support Vector Machine Training |
2019 | Download |
DST ML 20 | Adversarial Deep Learning Models with Multiple Adversaries |
2019 | Download |
DST ML 21 | Universal Approximation Capability of Broad Learning System and Its Structural Variations |
2019 | Download |