ASHABHARATHI SHANKARATHOTA

@jyothyit.ac.in

Associate Professor /Electroniics and communication Engineering
Jyothy Institute of Technology



           

https://researchid.co/ashabharathi

bharathi S obtained her batchelor degree in Electronics &Communication Engineering from
KVG College of,Sullia in 1996.M.Tech degree in Digital Electronics &Advanced Communication from
NITK,Suratkal in 2003 and PhD from VTU,Belagavi in 2022.Her research interests include Digital
Signal Processing,Digital Image Processing,Computer Vision and Machine has been in
Academic field for 20 years guiding the students for overall development. She has publications in
International journals and conferences and also attended many FDPs ,workshops,seminars etc. She
is also a volunteer and faculty at Art of Living Organisation and has been facilitating various
programs which help the people to lead a happy and healthy life. She is life member of ISTE,IAENG
,ISRASE,IEEE

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering

1

Scholar Citations

1

Scholar h-index

RECENT SCHOLAR PUBLICATIONS

  • Hybrid Feature Selection Model for Computer Aided Diagnosis System in Lung Segmentation
    TRVL A. . S., P. . Kharote, R. . Babu B., R. . Rajalakshmi, R. D. . Kumar
    International Journal of Intelligent Systems and Applications in Engineering 2023

  • Key Frame Extraction Analysis Based on Optimized Convolution Neural Network (OCNN) using Intensity Feature Selection (IFS)
    T. Prabakaran, L. Kumar, S. Ashabharathi, S. Prabhavathi, M. Vilas Deshpande ...
    2nd International Conference on Technological Advancements in Computational 2022

  • Energy Enhancement and Optimization of WSN using Firefly Algorithm and Deep Learning,
    A. Bharathi S, G. M. Dandime, G. V. Nirmala, A. Baldania, C. M. Sai Kumar ...
    2022 International Conference on Edge Computing and Applications (ICECAA 2022

  • Highly Robust and Automated Vision Based Filamentous Steel Strip Crack Detection System
    AB SHANKARATHOTA, RK MS
    International Journal of Automation and Smart Technology 10 (1), 109-123 2020

  • A Robust Automated Vision Based Filamentous Steel Strip Crack Detection System Based on Neuron Model Segmentation
    A Bharathi S
    International Journal of Recent Technology and Engineering (IJRTE) 8 (6 2020

  • Evolutionery Computing Firefly Algorithm Assisted Fuzzy C-Means Clustering Model for Steel Strip Surface Crack Detection
    A Bharathi S
    International Journal Of Advanced Science and Technology 29 (8), 6118-6138 2020

MOST CITED SCHOLAR PUBLICATIONS

  • Key Frame Extraction Analysis Based on Optimized Convolution Neural Network (OCNN) using Intensity Feature Selection (IFS)
    T. Prabakaran, L. Kumar, S. Ashabharathi, S. Prabhavathi, M. Vilas Deshpande ...
    2nd International Conference on Technological Advancements in Computational 2022
    Citations: 1