Harikumar Rajaguru

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Swarm Intelligence

Breast Cancer Diagnosis

Firefly Algorithm

Top Venues

Int. J. Imaging Syst. Technol.

Frontiers Comput. Neurosci.

Publications

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) (2024)
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) (2023)
N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, Vinoth Kumar V., T. R. Mahesh, Suresh Guluwadi
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. IEEE Access 11 (2023)
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 (2023)
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)
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)
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
SKMAT-U-Net architecture for breast mass segmentation. Int. J. Imaging Syst. Technol. 32 (6) (2022)
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) (2022)
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) (2022)
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) (2022)
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)
K. Nirmalakumari, Harikumar Rajaguru
Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification. Int. J. Imaging Syst. Technol. 31 (3) (2021)
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) (2021)
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis. Int. J. Imaging Syst. Technol. 31 (4) (2021)
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 (2021)
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) (2021)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. IEEE Access 8 (2020)
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) (2020)
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) (2020)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun-Hee Kim
Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing. Comput. Intell. Neurosci. 2020 (2020)
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) (2020)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. BCI (2020)
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) (2020)
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 (2019)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. BCI (2019)
Sunil Kumar Prabhakar, Harikumar Rajaguru
Conceptual analysis of epilepsy classification using probabilistic mixture models. BCI (2017)
Sunil Kumar Prabhakar, Harikumar Rajaguru
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals. SoCPaR (2016)
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) (2016)
Harikumar Rajaguru, Thangavel Vijayakumar
Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels. EURASIP J. Adv. Signal Process. 2014 (2014)
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) (2014)