Dr.S.Nithya

@ssmartscollege.in

Head and Assistant Professor/Computer Science
SSM College of Arts and Science

Dr.S.Nithya


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https://researchid.co/nithikarthick

EDUCATION

M.Sc. (CS & IT)., M.Phil., Ph.D

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Science Applications
51

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Classification of Cardiovascular Arrhythmia Using Deep Learning Techniques: A Review
    S Nithya, MMS Rani, V Sivakumar
    EAI Endorsed Transactions on Pervasive Health and Technology 10 , 2024
    2024
    Citations: 2
  • Segmentation and Transformation of 1D-ECG Beats for Effective Arrhytmia Classification
    N S., MMS Rani
    International Conference on Advanced Computing Technologies for Innovative … , 2023
    2023
  • Prediction of Risk in Maternal Health
    MMS Rani, S Nithya S, RJ Britto
    International Conference on Advanced Computing Technologies for Innovative … , 2023
    2023
  • Stacked LSTM and Kernel-PCA-based Ensemble Learning for Cardiac Arrhythmia Classification
    A Abdullah, S Nithya, MMS Rani, S Vijayalakshmi, B Balusamy
    International Journal of Advanced Computer Science and Applications 14 (9) , 2023
    2023
    Citations: 9
  • XACML: Explainable Arrhythmia Classification Model Using Machine Learning
    S Nithya, MS Rani
    International Advanced Computing Conference, 219-231 , 2022
    2022
    Citations: 1
  • Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images
    S Nithya, MMS Rani
    2022 International Conference on Intelligent Innovations in Engineering and … , 2022
    2022
    Citations: 8
  • ECG CLASSIFICATION OF CARDIOVASCULAR ARRHYTHMIA USING DEEP LEARNING TECHNIQUES: A REVIEW
    NK Dr.M.Mary Shanthi Rani, R.Sangeetha
    International Conference on Recent Trends and Advances in Communication … , 2022
    2022
  • Deep learning model for arrhythmia classification with 2D convolutional neural network
    S Nithya, MS Rani
    Innovations in Information and Communication Technologies: Proceedings of … , 2022
    2022
    Citations: 4
  • ECG classification using machine learning classifiers with optimal feature selection methods
    N Karthikeyan, MS Rani
    Evolutionary Computing and Mobile Sustainable Networks: Proceedings of … , 2022
    2022
    Citations: 8
  • [Retracted] DeepCompNet: A Novel Neural Net Model Compression Architecture
    M Mary Shanthi Rani, P Chitra, S Lakshmanan, M Kalpana Devi, ...
    Computational Intelligence and Neuroscience 2022 (1), 2213273 , 2022
    2022
    Citations: 19
  • Implementation of Data Mining Tools for Heart Disease Classification
    N S., MMS Rani
    Artificial Intelligence and its Multidisciplinary Stances, 61-64 , 2022
    2022
  • A REVIEW ON DETECTION OF MALIGNANT BREAST TUMOURS USING DEEP LEARNING
    SN Dr. M. Mary Shanthi Rani, P. Shanmugavadivu
    Our Heritage Journal (ISSN 0474-9030) 68 (4), 287-296 , 2020
    2020

MOST CITED SCHOLAR PUBLICATIONS

  • [Retracted] DeepCompNet: A Novel Neural Net Model Compression Architecture
    M Mary Shanthi Rani, P Chitra, S Lakshmanan, M Kalpana Devi, ...
    Computational Intelligence and Neuroscience 2022 (1), 2213273 , 2022
    2022
    Citations: 19
  • Stacked LSTM and Kernel-PCA-based Ensemble Learning for Cardiac Arrhythmia Classification
    A Abdullah, S Nithya, MMS Rani, S Vijayalakshmi, B Balusamy
    International Journal of Advanced Computer Science and Applications 14 (9) , 2023
    2023
    Citations: 9
  • Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images
    S Nithya, MMS Rani
    2022 International Conference on Intelligent Innovations in Engineering and … , 2022
    2022
    Citations: 8
  • ECG classification using machine learning classifiers with optimal feature selection methods
    N Karthikeyan, MS Rani
    Evolutionary Computing and Mobile Sustainable Networks: Proceedings of … , 2022
    2022
    Citations: 8
  • Deep learning model for arrhythmia classification with 2D convolutional neural network
    S Nithya, MS Rani
    Innovations in Information and Communication Technologies: Proceedings of … , 2022
    2022
    Citations: 4
  • Classification of Cardiovascular Arrhythmia Using Deep Learning Techniques: A Review
    S Nithya, MMS Rani, V Sivakumar
    EAI Endorsed Transactions on Pervasive Health and Technology 10 , 2024
    2024
    Citations: 2
  • XACML: Explainable Arrhythmia Classification Model Using Machine Learning
    S Nithya, MS Rani
    International Advanced Computing Conference, 219-231 , 2022
    2022
    Citations: 1
  • Segmentation and Transformation of 1D-ECG Beats for Effective Arrhytmia Classification
    N S., MMS Rani
    International Conference on Advanced Computing Technologies for Innovative … , 2023
    2023
  • Prediction of Risk in Maternal Health
    MMS Rani, S Nithya S, RJ Britto
    International Conference on Advanced Computing Technologies for Innovative … , 2023
    2023
  • ECG CLASSIFICATION OF CARDIOVASCULAR ARRHYTHMIA USING DEEP LEARNING TECHNIQUES: A REVIEW
    NK Dr.M.Mary Shanthi Rani, R.Sangeetha
    International Conference on Recent Trends and Advances in Communication … , 2022
    2022
  • Implementation of Data Mining Tools for Heart Disease Classification
    N S., MMS Rani
    Artificial Intelligence and its Multidisciplinary Stances, 61-64 , 2022
    2022
  • A REVIEW ON DETECTION OF MALIGNANT BREAST TUMOURS USING DEEP LEARNING
    SN Dr. M. Mary Shanthi Rani, P. Shanmugavadivu
    Our Heritage Journal (ISSN 0474-9030) 68 (4), 287-296 , 2020
    2020