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

GIS-Based 3-D Slope Stability Modelling for Analysis of Rainfall Induced Landslides
GIS-Based 3-D Slope Stability Modelling for Analysis of Rainfall Induced Landslides
Online Monitoring for Geological CO2 Storage and Leakage Based on Wireless Sensor Networks
Online Monitoring for Geological CO2 Storage and Leakage Based on Wireless Sensor Networks
Ribotyping- Ribotyping of Bacterial Endophytes
Ribotyping- Ribotyping of Bacterial Endophytes
Multi site Grant Management System
Multi site Grant Management System
Quantifying Glacier Retreat and Elevated Lake Growth Using Remote Sensing for Disaster Management in Western Himalaya
Quantifying Glacier Retreat and Elevated Lake Growth Using Remote Sensing for Disaster Management in Western Himalaya
Admissions Apply Now