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ORCIDHarikumar Rajaguru
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2020 – today
- 2024
[j32]Gowri Shankar Manivannan
, C. Ganesh Babu, Harikumar Rajaguru:
Amelioration of multitudinous classifiers performance with hyper-parameters tuning in elephant search optimization for cardiac arrhythmias detection. J. Supercomput. 80(10): 14848-14924 (2024)- 2023
- [j31]N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi:
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. IEEE Access 11: 109477-109487 (2023) - [j30]S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar Rajaguru, T. R. Mahesh, Krishnamoorthy Venkatesan:
Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm. IEEE Access 11: 140900-140913 (2023) - [j29]S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru:
Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis. Multim. Tools Appl. 82(30): 47585-47609 (2023) - 2022
- [j28]S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru:
A systematic review on machine learning algorithms used for forecasting lake-water level fluctuations. Concurr. Comput. Pract. Exp. 34(24) (2022) - [j27]Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, Dong-Ok Won:
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification. Frontiers Comput. Neurosci. 16 (2022) - [j26]Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won:
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network. Frontiers Comput. Neurosci. 16 (2022) - [j25]S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
SKMAT-U-Net architecture for breast mass segmentation. Int. J. Imaging Syst. Technol. 32(6): 1880-1888 (2022) - [j24]Karthikamani R, Harikumar Rajaguru:
Detection of liver abnormalities - A new paradigm in medical image processing and classification techniques. Int. J. Imaging Syst. Technol. 32(6): 2219-2239 (2022) - [j23]Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, In Cheol Jeong, Dong-Ok Won:
A Holistic Strategy for Classification of Sleep Stages with EEG. Sensors 22(9): 3557 (2022) - [j22]S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms. Soft Comput. 26(22): 12741-12760 (2022) - 2021
- [j21]S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
A novel improved crow-search algorithm to classify the severity in digital mammograms. Int. J. Imaging Syst. Technol. 31(2): 921-954 (2021) - [j20]N. Bharanidharan, Harikumar Rajaguru:
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. 31(3): 1221-1245 (2021) - [j19]K. Nirmalakumari, Harikumar Rajaguru:
Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification. Int. J. Imaging Syst. Technol. 31(3): 1595-1608 (2021) - [j18]S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis. Int. J. Imaging Syst. Technol. 31(4): 1861-1881 (2021) - [j17]Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won:
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification. Sci. Program. 2021: 2420254:1-2420254:12 (2021) - 2020
- [j16]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. IEEE Access 8: 39875-39897 (2020) - [j15]Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun-Hee Kim:
Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing. Comput. Intell. Neurosci. 2020: 8853835:1-8853835:14 (2020) - [j14]N. Bharanidharan, Harikumar Rajaguru:
Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms. Int. J. Imaging Syst. Technol. 30(1): 57-74 (2020) - [j13]S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
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. 30(1): 126-146 (2020) - [j12]N. Bharanidharan, Harikumar Rajaguru:
Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm. Int. J. Imaging Syst. Technol. 30(3): 605-620 (2020) - [j11]K. Nirmalakumari, Harikumar Rajaguru, P. Rajkumar:
Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data. Int. J. Imaging Syst. Technol. 30(4): 1012-1032 (2020) - [c5]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. BCI 2020: 1-6
2010 – 2019
- 2019
- [j10]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease. IEEE Access 7: 165181-165206 (2019) - [c4]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. BCI 2019: 1-6 - 2017
- [c3]Sunil Kumar Prabhakar, Harikumar Rajaguru:
Conceptual analysis of epilepsy classification using probabilistic mixture models. BCI 2017: 81-84 - 2016
- [j9]Harikumar Rajaguru, Karthick Ganesan, Vinoth Kumar Bojan:
Earlier detection of cancer regions from MR image features and SVM classifiers. Int. J. Imaging Syst. Technol. 26(3): 196-208 (2016) - [j8]P. K. Kowsalya, Rajaguru Harikumar:
Performance Analysis of Adaptive Routing Structure for Wireless Sensor Network Based on Load Balancing. Wirel. Pers. Commun. 90(2): 473-485 (2016) - [c2]Sunil Kumar Prabhakar, Harikumar Rajaguru:
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals. SoCPaR 2016: 364-374 - 2015
- [j7]Rajaguru Harikumar, Thangavel Vijayakumar:
A real time experimental setup for classification of epilepsy risk levels. Appl. Soft Comput. 35: 493-501 (2015) - 2014
- [j6]Rajaguru Harikumar, Jennifer S. Raj:
Ad hoc node connectivity improvement analysis - Why not through mesh clients? Comput. Electr. Eng. 40(2): 473-483 (2014) - [j5]Harikumar Rajaguru, Thangavel Vijayakumar:
Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels. EURASIP J. Adv. Signal Process. 2014: 59 (2014) - [j4]Harikumar Rajaguru, Vinoth Kumar Bojan:
Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images. Int. J. Imaging Syst. Technol. 24(1): 16-22 (2014) - [j3]Jennifer S. Raj, Rajaguru Harikumar:
A dynamic overlay approach for mobility maintenance in personal communication networks. Peer-to-Peer Netw. Appl. 7(2): 118-128 (2014) - 2013
- [j2]Jennifer S. Raj, Rajaguru Harikumar:
A Neighbor-Aware Connectivity Architecture for Mobile Internet Maintenance. Smart Comput. Rev. 3(2): 62-73 (2013) - [j1]Jennifer S. Raj, Rajaguru Harikumar:
A Localized Computing Approach for Connectivity Improvement Analysis in Wireless Personal Networks. Wirel. Pers. Commun. 72(4): 2867-2883 (2013) - 2011
- [c1]Rajaguru Harikumar, Thangavelu Vijayakumar:
Comparison of hierarchical aggregation functions decision Trees and Rule Based AI optimization in the classification of fuzzy based epilepsy risk levels from EEG signals. HIS 2011: 61-66
Coauthor Index
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