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

Matrix Binding microbes and bacteriophages to counter infection
Matrix Binding microbes and bacteriophages to counter infection
Segmentation and tracking of ovarian tumours from ovarian CT images 
Segmentation and tracking of ovarian tumours from ovarian CT images 
Developing Suitable Pedagogical Methods for Various Classes, Intellectual Calibers and Research in E-learning- Main Phase
Developing Suitable Pedagogical Methods for Various Classes, Intellectual Calibers and Research in E-learning- Main Phase
Design and Development of a Combustion Based Micro-Power Generator
Design and Development of a Combustion Based Micro-Power Generator
Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Admissions Apply Now