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

Development of Malayalam Wordnet
Development of Malayalam Wordnet
Decoding of Turbo Product Codes using Deep Learning Technique
Decoding of Turbo Product Codes using Deep Learning Technique
Molecular Structural Studies of Complex Natural Products by LCMS and UV Spectrophotometry
Molecular Structural Studies of Complex Natural Products by LCMS and UV Spectrophotometry
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Machine Independent fault diagnosis a unified approach
Machine Independent fault diagnosis a unified approach
Admissions Apply Now