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

Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Digital & Health Literacy – Promoting Health & Wellbeing
Digital & Health Literacy – Promoting Health & Wellbeing
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Synthesis, Characterization and Liquid Crystalline Studies of Schiff Base Containing Porphyrin
Synthesis, Characterization and Liquid Crystalline Studies of Schiff Base Containing Porphyrin
Diversity Oriented Synthesis Applications to Flavonols, Flavones, Isoflavones and Biflavones
Diversity Oriented Synthesis Applications to Flavonols, Flavones, Isoflavones and Biflavones
Admissions Apply Now