Back close
Admissions

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

Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
Design and Development of a Mini Custom Power Park with Power Quality Improvement
Design and Development of a Mini Custom Power Park with Power Quality Improvement
Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle
Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle
2nd Foundation Project: Promoting Future Skills
2nd Foundation Project: Promoting Future Skills
Admissions Apply Now