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harikumar rajaguru
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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
1272013
Analysis of decision tree and k-nearest neighbor algorithm in the classification of breast cancer
H Rajaguru, SC SR
Asian Pacific journal of cancer prevention: APJCP 20 (12), 3777, 2019
1002019
An overview of batteries for photovoltaic (PV) systems
P Manimekalai, R Harikumar, S Raghavan
International Journal of Computer Applications 82 (12), 2013
972013
Automatic detection and classification of mammograms using improved extreme learning machine with deep learning
SRS Chakravarthy, H Rajaguru
Irbm 43 (1), 49-61, 2022
842022
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
662016
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
612016
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
60*2015
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
582003
Lung cancer detection using probabilistic neural network with modified crow-search algorithm
SC SR, H Rajaguru
Asian Pacific journal of cancer prevention: APJCP 20 (7), 2159, 2019
572019
A framework for schizophrenia EEG signal classification with nature inspired optimization algorithms
SK Prabhakar, H Rajaguru, SW Lee
IEEE Access 8, 39875-39897, 2020
542020
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non‐linear regression models: A comparison
SR Sannasi Chakravarthy, H Rajaguru
International Journal of Imaging Systems and Technology 30 (1), 126-146, 2020
532020
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
432004
Bayesian linear discriminant analysis for breast cancer classification
H Rajaguru, SK Prabhakar
2017 2nd international conference on communication and electronics systems …, 2017
312017
Adaboost Classifier with dimensionality reduction techniques for Epilepsy Classification from EEG
SK Prabhakar, H Rajaguru
Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017 …, 2018
282018
Development of patient remote monitoring system for epilepsy classification
SK Prabhakar, H Rajaguru
The 16th International Conference on Biomedical Engineering: ICBME 2016, 7th …, 2017
282017
Schizophrenia EEG signal classification based on swarm intelligence computing
SK Prabhakar, H Rajaguru, K Sun-Hee
Computational Intelligence and Neuroscience: CIN 2020, 2020
272020
Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer
SRS Chakravarthy, N Bharanidharan, H Rajaguru
IRBM 44 (3), 100749, 2023
262023
Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification
SK Prabhakar, H Rajaguru
Heliyon 6 (12), 2020
262020
Dimensionality reduction techniques for processing epileptic encephalographic signals
R Harikumar, PS Kumar
Biomedical and Pharmacology Journal 8 (1), 103-106, 2015
262015
Multi-deep CNN based experimentations for early diagnosis of breast cancer
SR Sannasi Chakravarthy, N Bharanidharan, H Rajaguru
IETE Journal of Research 69 (10), 7326-7341, 2023
252023
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