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

New and Efficient Photosensitizers for Nanocrystalline TiO2 Based Dye Sensitized Solar Cells
New and Efficient Photosensitizers for Nanocrystalline TiO2 Based Dye Sensitized Solar Cells
Water and Energy Efficient Reliable Irrigation System (WatEr-ERIS): Solar energy and Cloud-based decision support systems for automated irrigation system
Water and Energy Efficient Reliable Irrigation System (WatEr-ERIS): Solar energy and Cloud-based decision support systems for automated irrigation system
Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models
Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models
High Performance Polymeric Composite for Space Applications
High Performance Polymeric Composite for Space Applications
Development of Amperometric Glucose Biosensors
Development of Amperometric Glucose Biosensors
Admissions Apply Now