Harikumar Rajaguru

34 papers C 1Journal 27Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHis Images: In the Quest for Precision.
Int. J. Comput. Intell. Syst.
Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah
2024 J jnl
Amelioration of multitudinous classifiers performance with hyper-parameters tuning in elephant search optimization for cardiac arrhythmias detection.
J. Supercomput.
Gowri Shankar Manivannan, C. Ganesh Babu, Harikumar Rajaguru
2024 — conf
Performance Analysis of Visual Geometry Group Features with Different Classification Models for Identification of Colon Cancer from Histopathological Images.
MIND (2)
Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Rajanna Siddaiah
2024 C conf
Swarm Intelligence Feature Selection and Possibilistic Fuzzy c-Means Approach for Enhancement of Classifier Performance in Detection of Diabetes from Microarray gene.
TENCON
Dinesh Chellappan, Harikumar Rajaguru
2023 J jnl
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique.
IEEE Access
N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi
2023 J jnl
Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm.
IEEE Access
S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar Rajaguru, T. R. Mahesh, Krishnamoorthy Venkatesan
2023 J jnl
Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis.
Multim. Tools Appl.
S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru
2022 J jnl
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network.
Frontiers Comput. Neurosci.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won
2022 J jnl
A Holistic Strategy for Classification of Sleep Stages with EEG.
Sensors
Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, In Cheol Jeong, Dong-Ok Won
2022 J jnl
A systematic review on machine learning algorithms used for forecasting lake-water level fluctuations.
Concurr. Comput. Pract. Exp.
S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru
2022 J jnl
Detection of liver abnormalities - A new paradigm in medical image processing and classification techniques.
Int. J. Imaging Syst. Technol.
Karthikamani R, Harikumar Rajaguru
2022 J jnl
Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms.
Soft Comput.
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2022 J jnl
SKMAT-U-Net architecture for breast mass segmentation.
Int. J. Imaging Syst. Technol.
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2022 J jnl
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification.
Frontiers Comput. Neurosci.
Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, Dong-Ok Won
2021 J jnl
A novel improved crow-search algorithm to classify the severity in digital mammograms.
Int. J. Imaging Syst. Technol.
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2021 — conf
Deep Features with Improved Extreme Learning Machine for Breast Cancer Classification.
ISCMI
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2021 J jnl
Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis.
Int. J. Imaging Syst. Technol.
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2021 J jnl
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.
N. Bharanidharan, Harikumar Rajaguru
2021 J jnl
Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification.
Int. J. Imaging Syst. Technol.
K. Nirmalakumari, Harikumar Rajaguru
2021 J jnl
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification.
Sci. Program.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won
2020 J jnl
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms.
IEEE Access
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2020 J jnl
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.
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2020 — conf
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification.
BCI
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2020 J jnl
Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm.
Int. J. Imaging Syst. Technol.
N. Bharanidharan, Harikumar Rajaguru
2020 J jnl
Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data.
Int. J. Imaging Syst. Technol.
K. Nirmalakumari, Harikumar Rajaguru, P. Rajkumar
2020 J jnl
Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms.
Int. J. Imaging Syst. Technol.
N. Bharanidharan, Harikumar Rajaguru
2020 J jnl
Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing.
Comput. Intell. Neurosci.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun-Hee Kim
2019 — conf
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers.
BCI
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2019 J jnl
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease.
IEEE Access
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2017 — conf
Conceptual analysis of epilepsy classification using probabilistic mixture models.
BCI
Sunil Kumar Prabhakar, Harikumar Rajaguru
2016 J jnl
Earlier detection of cancer regions from MR image features and SVM classifiers.
Int. J. Imaging Syst. Technol.
Harikumar Rajaguru, Karthick Ganesan, Vinoth Kumar Bojan
2016 — conf
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals.
SoCPaR
Sunil Kumar Prabhakar, Harikumar Rajaguru
2014 J jnl
Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images.
Int. J. Imaging Syst. Technol.
Harikumar Rajaguru, Vinoth Kumar Bojan
2014 J jnl
Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels.
EURASIP J. Adv. Signal Process.
Harikumar Rajaguru, Thangavel Vijayakumar