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

Robust Features for Speaker Verification
Robust Features for Speaker Verification
Wireless remote Sensing, Experimentation, Monitoring and Administration Laboratory
Wireless remote Sensing, Experimentation, Monitoring and Administration Laboratory
Predicting the Landslides through Lateral Flows: A Hydrological Modeling Approach
Predicting the Landslides through Lateral Flows: A Hydrological Modeling Approach
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Ayurvedic Virtual Clinical Simulations (AyurSIM)
Ayurvedic Virtual Clinical Simulations (AyurSIM)
Admissions Apply Now