S. R. Sannasi Chakravarthy

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Transfer Learning

Firefly Algorithm

Gene Expression

Cancer Diagnosis

Top Venues

Int. J. Imaging Syst. Technol.

Int. J. Comput. Intell. Syst.

BMC Medical Imaging

Publications

S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, T. R. Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Albalawi
Intelligent Recognition of Multimodal Human Activities for Personal Healthcare. IEEE Access 12 (2024)
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. BMC Medical Imaging 24 (1) (2024)
N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, Mahesh Thylore Ramakrishna, Mohan Ellappan, Krishnamoorthy Venkatesan
Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis. IEEE Access 12 (2024)
S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. BMC Medical Imaging 24 (1) (2024)
S. R. Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, Vinoth Kumar Venkatesan, Mahesh Thylore Ramakrishna, Ahlam Almusharraf, Eid Albalawi
Multi-class Breast Cancer Classification Using CNN Features Hybridization. Int. J. Comput. Intell. Syst. 17 (1) (2024)
S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, Vinoth Kumar Venkatesan, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annad
Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. Int. J. Comput. Intell. Syst. 17 (1) (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)
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)
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)
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)
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)