Back close

ML based Visible Light Communication

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Aryadevi R. D.
Co-Project Incharge:Dr. Maneesha Vinodini Ramesh
ML based Visible Light Communication

Machine Learning-Based Visible Light Communication (ML-VLC) Technology combines the power of machine learning algorithms with visible light communication systems. This innovative approach optimizes data transmission, mitigates signal interference, and enhances communication efficiency through the intelligent adaptation of ML algorithms to varying light conditions, making it a cutting-edge solution for high-performance wireless communication.

Name of students and staff from Amrita : Heshan Niranga (PhD Student)

Publication Details

Related Projects

Software test case repository maintenance automation using AI
Software test case repository maintenance automation using AI
Retinal Image Enhancement using Super Resolution via Sparse Representation and Quality Analysis
Retinal Image Enhancement using Super Resolution via Sparse Representation and Quality Analysis
Cost Effective Device and Cloud Enabled Smart Solution for Diabetes Care
Cost Effective Device and Cloud Enabled Smart Solution for Diabetes Care
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-4)
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-4)
Mass Spectrometry Assisted Identification of Antioxidant Pigments from Stoechospermum polypodioides, a Marine Brown Macro Alga
Mass Spectrometry Assisted Identification of Antioxidant Pigments from Stoechospermum polypodioides, a Marine Brown Macro Alga
Admissions Apply Now