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

Population Survey of Invasive Diseases in India caused by S.Pneumoniae or H.influenzae or N. meningitis in Children below 5 years of age
Population Survey of Invasive Diseases in India caused by S.Pneumoniae or H.influenzae or N. meningitis in Children below 5 years of age
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Design and Validation of Point of Care Disposable Sensor Strips for Diagnosis of Tuberculosis from Urine Samples
Design and Validation of Point of Care Disposable Sensor Strips for Diagnosis of Tuberculosis from Urine Samples
Parallelizing Low Vision Feature Extraction through GPUs
Parallelizing Low Vision Feature Extraction through GPUs
Transformation, Expression and Activity Analysis of Recombinant Staphylococcus Autolysin in Bacillus
Transformation, Expression and Activity Analysis of Recombinant Staphylococcus Autolysin in Bacillus
Admissions Apply Now