Back close
Admissions

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

Ontology Driven Knowledge-based Systems for Disease and Treatment Prediction  
Ontology Driven Knowledge-based Systems for Disease and Treatment Prediction  
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Development of Lab-on-a-Chip for the Early Detection of Cancer in Women
Development of Lab-on-a-Chip for the Early Detection of Cancer in Women
Residual Stress Measurements in Machining of Titanium Alloys
Residual Stress Measurements in Machining of Titanium Alloys
Admissions Apply Now