harikumar rajaguru
TitleCited byYear
Electrical impedance tomography (EIT) and its medical applications: a review
R Harikumar, R Prabu, S Raghavan
Int. J. Soft Comput. Eng 3 (4), 193-198, 2013
Fuzzy Techniques for Classification of Epilepsy risk level from EEG Signals
R Harikumar, BS Narayanan
TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region 1 …, 2003
Performance Analysis of Neural Networks for Classification of Medical Images with Wavelets as a Feature Extractor
H Rajaguru, VK Bojan
Int J Imaging Syst Technol, 25 (1), 33-47, 2015
Genetic algorithm optimization of fuzzy outputs for classification of epilepsy risk levels from EEG signals
R Harikumar, R Sukanesh, PA Bharathi
Conference Record of the Thirty-Eighth Asilomar Conference on Signals …, 2004
An overview of batteries for photovoltaic (PV) systems
P Manimekalai, R Harikumar, S Raghavan
International Journal of Computer Applications 82 (12), 2013
Performance analysis and detection of micro calcification in digital mammograms using wavelet features
C Abirami, R Harikumar, SRS Chakravarthy
2016 International Conference on Wireless Communications, Signal Processing …, 2016
Fuzzy controller for automatic drug infusion in cardiac patients
ML Kumar, R Harikumar, AK Vasan, V Sudhaman
Proceedings of the International MultiConference of Engineers and Computer …, 2009
Development of patient remote monitoring system for epilepsy classification
SK Prabhakar, H Rajaguru
The 16th International Conference on Biomedical Engineering, 80-87, 2017
PCA and K-means clustering for classification of epilepsy risk levels from EEG signals—a comparitive study between them
SK Prabhakar, H Rajaguru
2015 International Conference on Intelligent Informatics and Biomedical …, 2015
Performance comparison of fuzzy mutual information as dimensionality reduction techniques and SRC, SVD and approximate entropy as post classifiers for the classification of …
SK Prabhakar, H Rajaguru
2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES …, 2015
A Comparison of Genetic Algorithm & Neural Network (MLP) In Patient Specific Classification of Epilepsy Risk Levels from EEG Signals.
R Sukanesh, R Harikumar
Engineering Letters 14 (1), 2007
Dimensionality reduction techniques for processing epileptic encephalographic signals
R Harikumar, PS Kumar
Biomedical and Pharmacology Journal 8 (1), 103-106, 2015
Performance analysis of KNN classifier and K-means clustering for robust classification of epilepsy from EEG signals
M Manjusha, R Harikumar
2016 International Conference on Wireless Communications, Signal Processing …, 2016
Application of linear graph embedding as a dimensionality reduction technique and sparse representation classifier as a post classifier for the classification of epilepsy risk …
SK Prabhakar, H Rajaguru
Seventh International Conference on Graphic and Image Processing (ICGIP 2015 …, 2015
Frequency behaviors of electroencephalography signals in epileptic patients from a wavelet Thresholding perspective
R Harikumar, PS Kumar
Applied Mathematical Sciences 9 (50), 2451-2457, 2015
Adaptive Modulation and Coding Rate for OFDM Systems
TS Harivikram, R Harikumar, CG Babu, P Murugamanickam
Performance analysis of artificial neural networks and statistical methods in classification of oral and breast cancer stages
R HariKumar, N Vasanthi, M Balasubramani
HINDU, 2009
A framework for epilepsy classification using modified sparse representation classifiers and naive Bayesian classifier from electroencephalogram signals
H Rajaguru, SK Prabhakar
Journal of Medical Imaging and Health Informatics 6 (8), 1829-1837, 2016
Conceptual analysis of epilepsy classification using probabilistic mixture models
SK Prabhakar, H Rajaguru
2017 5th International Winter Conference on Brain-Computer Interface (BCI …, 2017
A different approach to epilepsy risk level classification utilizing various distance measures as post classifiers
SK Prabhakar, H Rajaguru
2015 8th Biomedical Engineering International Conference (BMEiCON), 1-5, 2015
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