Subathra, M.S.P. - Department of Electronics & Communication Engineering, Karunya institute of technology and sciences | 人才画像 - AMiner

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个人简介

M. S. P. Subathra received the B.E. degree in electrical and electronics engineering and the M.E. degree in power systems from Thiagarajar College of Engineering, Madurai, India, in 1995 and 1997, respectively. She is currently working toward the Ph.D. degree in Karunya University, Coimbatore, India. She is also currently an Assistant Professor with the Department of Electrical and Electronics Engineering, Karunya University. Her research interests concern optimization techniques, power system operation and control, and renewable energy technologies.

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Stress Detection Using CNN on the WESAD Dataset

D. Shirley Benita,A. Shamila Ebenezer,L Susmitha,M.S.P. Subathra,S. Jeba Priya

2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)pp.308-313, (2024)

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Automated detection and classification of neurodegenerative diseases using time-frequency based methods and artificial neural network classifier

J. Prasanna,S. Thomas George,M. S. P. Subathra, C. Prajitha

Journal of Autonomous Intelligenceno. 5 (2024)

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A Fast Walsh-Hadamard transform (FWHT) For Detection of Freezing of Gait in Parkinson’s disease using Machine learning techniques

R Nancy,S Thomas George,J Prasanna,M S P Subathra

2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)pp.163-168, (2024)

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Detection of Parkinson's Disease from EEG Signals with EEMD Using Machine Learning and Deep Learning Techniques

Nagothu Bala Srikanth,S Jeba Priya,Subathra M.S.P

2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)pp.274-279, (2024)

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Emotion Classification Using Artificial Neural Networks and Haar Cascade

Agnel Hilarian L,Snowlin Preethi Janani,M.S.P Subathra,Ancy Jenifer. J,Stewart Kirubakaran S,Ebenezer V

2024 Second International Conference on Inventive Computing and Informatics (ICICI)pp.66-72, (2024)

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Detection of neurodegenerative diseases using hybrid MODWT and adaptive local binary pattern

J. Prasanna,S. Thomas George,M. S. P. Subathra

Neural Computing and Applicationspp.1-17, (2024)

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Computer aided diagnosis of neurodegenerative diseases using discrete wavelet transform and neural network for classification

J. Prasanna,S. Thomas George,M. S. P. Subathra

CRC Press eBookspp.127-142, (2023)

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Enhanced Local Pattern Transformation Based Feature Extraction for Identification of Parkinson's Disease Using Gait Signals

P. Klinton Amaladass,M. S. P. Subathra,S. Jeba Priya,Mahima Sivakumar

SN Computer Science/SN computer scienceno. 2 (2023)

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Human Fall Detection Using Machine Learning and Deep Learning Techniques: A Survey

S Sherin Zebiah, Ancy Vetha Shalomy, Jyotsana Kachhap, Nikita Tete,R Nancy, A. Ananthi,J. Prasanna,M.S.P. Subathra,S.Thomas George

2023 4th International Conference on Signal Processing and Communication (ICSPC)pp.253-257, (2023)

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Classification of Gait Signals for Detection of Neurodegenerative Diseases Using Log Energy Entropy and ANN Classifier

J. Prasanna,S. Thomas George,M. S. P. Subathra

CRC Press eBookspp.101-112, (2023)

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