关注
Muthanantha Murugavel A S
Muthanantha Murugavel A S
其他姓名ASM Murugavel, A S Muthanantha Murugavel, Dr.A.S.Muthanantha Murugavel
Professor, Karpagam College of Engineering, Coimbatore, Tamilnadu, India
在 kce.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification
ASM Murugavel, S Ramakrishnan
Medical & biological engineering & computing 54, 149-161, 2016
1082016
Epileptic seizure detection using fuzzy-rules-based sub-band specific features and layered multi-class SVM
S Ramakrishnan, AS Muthanantha Murugavel
Pattern Analysis and Applications 22 (3), 1161-1176, 2019
412019
Lyapunov features based EEG signal classification by multi-class SVM
ASM Murugavel, S Ramakrishnan, K Balasamy, T Gopalakrishnan
2011 World Congress on Information and Communication Technologies, 197-201, 2011
292011
An optimized extreme learning machine for epileptic seizure detection
ASM Murugavel, S Ramakrishnan
Int. J. Comput. Sci 41 (4), 212-221, 2014
282014
Semi fragile watermarking using Gaussian mixture model for malicious image attacks
T Gopalakrishnan, S Ramakrishnan, K Balasamy, ASM Murugavel
2011 World Congress on Information and Communication Technologies, 120-125, 2011
162011
Combined seizure index with adaptive multi-class SVM for epileptic EEG classification
ASM Murugavel, S Ramakrishnan, U Maheswari, BS Sabetha
2013 International Conference on Emerging Trends in VLSI, Embedded System …, 2013
152013
Epileptic eeg signal classification using multi-class convolutional neural network
S Ramakrishnan, ASM Murugavel, P Saravanan
2019 international conference on vision towards emerging trends in …, 2019
132019
Prediction of data analysis using machine learning techniques
DM Balakrishnan, DAB Christopher, DAS Murugavel, J Ramprasath
Int. J. of Aquatic Science 12 (3), 2755-2762, 2021
112021
Seizure detection with local binary pattern and CNN classifier
S Ramakrishnan, ASM Murugavel, P Sathiyamurthi, J Ramprasath
Journal of Physics: Conference Series 1767 (1), 012029, 2021
102021
Tree based wavelet transform and DAG SVM for seizure detection
ASM Murugavel, S Ramakrishnan
Signal & Image Processing 3 (1), 115, 2012
52012
Wavelet domain approximate entropy-based epileptic seizure detection
AM Murugavel, S Ramakrishnan
The 5th International Conference on Information Technology, 2011
52011
Classification of EEG Signals Using Weighted Probabilistic Neural Network and Multiwavelet Transformation
ASM Murugavel, S Ramakrishnan
Proceedings of ICOREM, 27-29, 2009
42009
Speech Recognition Model for Tamil Stops.
A Rathinavelu, A Rajkumar, ASM Murugavel
World Congress on Engineering, 128-131, 2007
42007
Denial of Service Malevolent Traffic Identification and Prevention in Software Defined Networking
J Ramprasath, ABA Christopher, M Balakrishnan, ASM Murugavel
2022 2nd International Conference on Advance Computing and Innovative …, 2022
32022
Muthanantha Murugavel AS Epileptic seizure detection using fuzzy-rules-based sub-band specific features and layered multi-class SVM
S Ramakrishnan
Pattern Analysis and Applications 22 (3), 1161-1176, 2019
32019
Multi-class SVM for EEG signal classification using wavelet based approximate entropy
AS Muthanantha Murugavel, S Ramakrishnan
Advances in Computer Science and Information Technology. Computer Science …, 2012
32012
J.Ramprasath Biological system Administrations for Compelling Utilize of Information Driven Modeling
JR M Balakrishnan, AB Christopher, AS Murugavel
Journal of Education: Rabindra bharati University 23 (12), 251-259, 2021
22021
Multiclass Support Vector Machine With New Kernel for Eeg Classification
MM Murugavel, D Akshaya, S Anitha, M Manjureka, T Mohanapriya
International Research Journal of Engineering and Technology 3, 1192-1197, 2016
22016
AS Muthanantha murugavel,“Speech Recognition Model for Tamil Stops”
A Rathinavelu, G Anupriya
Proceedings of the World Congress on Engineering 1, 2-4, 2007
22007
AS and Ramakrishnan S. Wavelet Domain Approximate Entropy-Based Epileptic Seizure Detection
M Murugavel
Proceedings of the 5th International Conference on Information Technology, 0
2
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