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)

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

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)

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

Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis. - N. Bharanidharan; S. R. Sannasi Chakravarthy; Vinoth Kumar Venkatesan 001; Mohamed Abbas; Mahesh Thylore Ramakrishna; Mohan Ellappan; Krishnamoorthy Venkatesan (IEEE Access, 2024)

Intelligent Recognition of Multimodal Human Activities for Personal Healthcare. - S. R. Sannasi Chakravarthy; N. Bharanidharan; V. Vinoth Kumar 001; T. R. Mahesh 001; Surbhi Bhatia Khan; Ahlam Almusharraf; Eid Albalawi (IEEE Access, 2024)

Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. - S. R. Sannasi Chakravarthy; N. Bharanidharan; V. Vinoth Kumar 001; T. R. Mahesh 001; Mohammed S. Alqahtani; Suresh Guluwadi (BMC Medical Imaging, 2024)

Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. - S. R. Sannasi Chakravarthy; N. Bharanidharan; C. Vinothini; Vinoth Kumar Venkatesan 001; T. R. Mahesh 001; Suresh Guluwadi (BMC Medical Imaging, 2024)

Multi-class Breast Cancer Classification Using CNN Features Hybridization. - S. R. Sannasi Chakravarthy; N. Bharanidharan; Surbhi Bhatia Khan; V. Vinoth Kumar 001; Mahesh Thylore Ramakrishna; Ahlam Almusharraf; Eid Albalawi (Int. J. Comput. Intell. Syst., 2024)

Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. - S. R. Sannasi Chakravarthy; Bharanidharan Nagarajan; V. Vinoth Kumar 001; T. R. Mahesh 001; R. Sivakami; Jonnakuti Rajkumar Annad (Int. J. Comput. Intell. Syst., 2024)