Harikumar Rajaguru
Orcid: 0000-0002-2792-0945
According to our database1,
Harikumar Rajaguru
authored at least 36 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis.
Multim. Tools Appl., December, 2023
Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm.
IEEE Access, 2023
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique.
IEEE Access, 2023
2022
Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms.
Soft Comput., 2022
Detection of liver abnormalities - A new paradigm in medical image processing and classification techniques.
Int. J. Imaging Syst. Technol., 2022
Int. J. Imaging Syst. Technol., 2022
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network.
Frontiers Comput. Neurosci., 2022
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification.
Frontiers Comput. Neurosci., 2022
A systematic review on machine learning algorithms used for forecasting lake-water level fluctuations.
Concurr. Comput. Pract. Exp., 2022
2021
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification.
Sci. Program., 2021
Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification.
Int. J. Imaging Syst. Technol., 2021
Int. J. Imaging Syst. Technol., 2021
A novel improved crow-search algorithm to classify the severity in digital mammograms.
Int. J. Imaging Syst. Technol., 2021
Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper-parameters.
Int. J. Imaging Syst. Technol., 2021
2020
Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data.
Int. J. Imaging Syst. Technol., 2020
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison.
Int. J. Imaging Syst. Technol., 2020
Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm.
Int. J. Imaging Syst. Technol., 2020
Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms.
Int. J. Imaging Syst. Technol., 2020
Comput. Intell. Neurosci., 2020
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms.
IEEE Access, 2020
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease.
IEEE Access, 2019
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2017
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
2016
Performance Analysis of Adaptive Routing Structure for Wireless Sensor Network Based on Load Balancing.
Wirel. Pers. Commun., 2016
Int. J. Imaging Syst. Technol., 2016
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
2015
Appl. Soft Comput., 2015
2014
A dynamic overlay approach for mobility maintenance in personal communication networks.
Peer-to-Peer Netw. Appl., 2014
Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images.
Int. J. Imaging Syst. Technol., 2014
Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels.
EURASIP J. Adv. Signal Process., 2014
Comput. Electr. Eng., 2014
2013
A Localized Computing Approach for Connectivity Improvement Analysis in Wireless Personal Networks.
Wirel. Pers. Commun., 2013
Smart Comput. Rev., 2013
2011
Comparison of hierarchical aggregation functions decision Trees and Rule Based AI optimization in the classification of fuzzy based epilepsy risk levels from EEG signals.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011