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

Hybrid Analysis Framework for Detection of Application Backdoors
Hybrid Analysis Framework for Detection of Application Backdoors
Further Development of a Software Library to Convert Orthographic Views to a 3D Model for AutoPilot3D
Further Development of a Software Library to Convert Orthographic Views to a 3D Model for AutoPilot3D
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Image Registration using Differential Evolution Based Algorithm Portfolios
Image Registration using Differential Evolution Based Algorithm Portfolios
CHETAK 2.0 : Service Robot
CHETAK 2.0 : Service Robot
Admissions Apply Now