Back close

Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization

Start Date: December, 2022

Project Incharge: Dr. C Shunmuga Velayutham, Dr. G. Jeyakumar, Dr. S Thangavelu

School: School of Computing

Funded by: Multicoreware

Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization

The project titled “Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization” is a ongoing funded project for Multicoreware. Principal Investigator and Co-Principal Investigator for the project are Dr. C. Shunmuga Velayutham, Dr. G. Jeyakumar, Dr. S. Thangavelu, Amrita School of Computing, Coimbatore. The project grant is Rs. 8,00,000 and duration is one year.

Related Projects

Communication Capability Enhancement in Ocean Networks with Predictive Learning Models  
Communication Capability Enhancement in Ocean Networks with Predictive Learning Models  
Reconstructing the events led to the 2023 South Lhonak Glacial Lake Outburst Flood (GLOF) in Sikkim, India
Reconstructing the events led to the 2023 South Lhonak Glacial Lake Outburst Flood (GLOF) in Sikkim, India
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
Architectures, Algorithms, and Models for Developing Remote Cardiac Rehabilitation
Architectures, Algorithms, and Models for Developing Remote Cardiac Rehabilitation
Lemongrass Essentials: Optimization of Solar-Powered Distillation Unit and Marketing Plan for Lemongrass Oil
Lemongrass Essentials: Optimization of Solar-Powered Distillation Unit and Marketing Plan for Lemongrass Oil
Admissions Apply Now