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

Soc & Embedded System Design Environment and its Applications to Wireless and Security
Soc & Embedded System Design Environment and its Applications to Wireless and Security
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Use of geo-textile fabric and pervious concrete to prevent coastal erosion in sandy soil beaches of Kerala
Use of geo-textile fabric and pervious concrete to prevent coastal erosion in sandy soil beaches of Kerala
Non-Invasive Microwave Sensing 
Non-Invasive Microwave Sensing 
Photophysical and Co-ordination Properties of Cyclam Core Dendrimers
Photophysical and Co-ordination Properties of Cyclam Core Dendrimers
Admissions Apply Now