Comparison of hierarchical aggregation functions decision Trees and Rule Based AI optimization in the classification of fuzzy based epilepsy risk levels from EEG signals. - Rajaguru Harikumar; Thangavelu Vijayakumar (HIS, 2011)

A Neighbor-Aware Connectivity Architecture for Mobile Internet Maintenance. - Jennifer S. Raj; Rajaguru Harikumar (Smart Comput. Rev., 2013)

A Localized Computing Approach for Connectivity Improvement Analysis in Wireless Personal Networks. - Jennifer S. Raj; Rajaguru Harikumar (Wirel. Pers. Commun., 2013)

Ad hoc node connectivity improvement analysis - Why not through mesh clients? - Rajaguru Harikumar; Jennifer S. Raj (Comput. Electr. Eng., 2014)

Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels. - Harikumar Rajaguru; Thangavel Vijayakumar (EURASIP J. Adv. Signal Process., 2014)

Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images. - Harikumar Rajaguru; Vinoth Kumar Bojan (Int. J. Imaging Syst. Technol., 2014)

A dynamic overlay approach for mobility maintenance in personal communication networks. - Jennifer S. Raj; Rajaguru Harikumar (Peer-to-Peer Netw. Appl., 2014)

A real time experimental setup for classification of epilepsy risk levels. - Rajaguru Harikumar; Thangavel Vijayakumar (Appl. Soft Comput., 2015)

Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals. - Sunil Kumar Prabhakar; Harikumar Rajaguru (SoCPaR, 2016)

Earlier detection of cancer regions from MR image features and SVM classifiers. - Harikumar Rajaguru; Karthick Ganesan; Vinoth Kumar Bojan (Int. J. Imaging Syst. Technol., 2016)

Performance Analysis of Adaptive Routing Structure for Wireless Sensor Network Based on Load Balancing. - P. K. Kowsalya; Rajaguru Harikumar (Wirel. Pers. Commun., 2016)

Conceptual analysis of epilepsy classification using probabilistic mixture models. - Sunil Kumar Prabhakar; Harikumar Rajaguru (BCI, 2017)

A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (BCI, 2019)

Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (IEEE Access, 2019)

Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (BCI, 2020)

A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (IEEE Access, 2020)

Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Sun-Hee Kim (Comput. Intell. Neurosci., 2020)

Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms. - N. Bharanidharan; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2020)

Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm. - N. Bharanidharan; Harikumar Rajaguru (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. - S. R. Sannasi Chakravarthy; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2020)

Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data. - K. Nirmalakumari; Harikumar Rajaguru; P. Rajkumar (Int. J. Imaging Syst. Technol., 2020)

Deep Features with Improved Extreme Learning Machine for Breast Cancer Classification. - S. R. Sannasi Chakravarthy; Harikumar Rajaguru (ISCMI, 2021)

Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper-parameters. - N. Bharanidharan; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2021)

A novel improved crow-search algorithm to classify the severity in digital mammograms. - S. R. Sannasi Chakravarthy; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2021)

Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis. - S. R. Sannasi Chakravarthy; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2021)

Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification. - K. Nirmalakumari; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2021)

Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Dong-Ok Won (Sci. Program., 2021)

A systematic review on machine learning algorithms used for forecasting lake-water level fluctuations. - S. R. Sannasi Chakravarthy; N. Bharanidharan; Harikumar Rajaguru (Concurr. Comput. Pract. Exp., 2022)

Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification. - Sunil Kumar Prabhakar; Young-Gi Ju; Harikumar Rajaguru; Dong-Ok Won (Frontiers Comput. Neurosci., 2022)

A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Kwangsub So; Dong-Ok Won (Frontiers Comput. Neurosci., 2022)

SKMAT-U-Net architecture for breast mass segmentation. - S. R. Sannasi Chakravarthy; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2022)

Detection of liver abnormalities - A new paradigm in medical image processing and classification techniques. - Karthikamani R; Harikumar Rajaguru (Int. J. Imaging Syst. Technol., 2022)

A Holistic Strategy for Classification of Sleep Stages with EEG. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Semin Ryu; In Cheol Jeong; Dong-Ok Won (Sensors, 2022)

Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms. - S. R. Sannasi Chakravarthy; Harikumar Rajaguru (Soft Comput., 2022)

Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. - N. Bharanidharan; S. R. Sannasi Chakravarthy; Harikumar Rajaguru; V. Vinoth Kumar 001; T. R. Mahesh 001; Suresh Guluwadi (IEEE Access, 2023)

Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm. - S. R. Sannasi Chakravarthy; N. Bharanidharan; Vinoth Kumar Venkatesan 001; Mohamed Abbas; Harikumar Rajaguru; T. R. Mahesh 001; Krishnamoorthy Venkatesan (IEEE Access, 2023)

Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis. - S. R. Sannasi Chakravarthy; N. Bharanidharan; Harikumar Rajaguru (Multim. Tools Appl., 2023)

Swarm Intelligence Feature Selection and Possibilistic Fuzzy c-Means Approach for Enhancement of Classifier Performance in Detection of Diabetes from Microarray gene. - Dinesh Chellappan; Harikumar Rajaguru (TENCON, 2024)

Amelioration of multitudinous classifiers performance with hyper-parameters tuning in elephant search optimization for cardiac arrhythmias detection. - Gowri Shankar Manivannan; C. Ganesh Babu; Harikumar Rajaguru (J. Supercomput., 2024)

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. - Gowri Shankar Manivannan; Karthikeyan Shanmugam; Harikumar Rajaguru; Satish V. Talawar; Rajanna Siddaiah (Int. J. Comput. Intell. Syst., 2025)