S. R. Sannasi Chakravarthy

According to our database, S. R. Sannasi Chakravarthy authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization.

S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, Vinoth Kumar Venkatesan, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annad

Int. J. Comput. Intell. Syst., December, 2024

Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer.

S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi

BMC Medical Imaging, December, 2024

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, Mohamed Abbas, Mahesh Thylore Ramakrishna, Mohan Ellappan, Krishnamoorthy Venkatesan

IEEE Access, 2024

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., December, 2023

Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm.

S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar Rajaguru, T. R. Mahesh, Krishnamoorthy Venkatesan

IEEE Access, 2023

Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique.

N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi

IEEE Access, 2023

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

SKMAT-U-Net architecture for breast mass segmentation.

S. R. Sannasi Chakravarthy, Harikumar Rajaguru

Int. J. Imaging Syst. Technol., 2022

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

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 novel improved crow-search algorithm to classify the severity in digital mammograms.

S. R. Sannasi Chakravarthy, Harikumar Rajaguru

Int. J. Imaging Syst. Technol., 2021

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