S. R. Sannasi Chakravarthy

18 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimized Extreme Learning Machine for Breast Tumor Classification Using Mammograms.
IEEE Open J. Comput. Soc.
N. Bharanidharan, S. R. Sannasi Chakravarthy, V. Vinoth Kumar
2024 J jnl
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
S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi
2024 J jnl
Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization.
Int. J. Comput. Intell. Syst.
S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, V. Vinoth Kumar, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annad
2024 J jnl
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer.
BMC Medical Imaging
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi
2024 J jnl
Intelligent Recognition of Multimodal Human Activities for Personal Healthcare.
IEEE Access
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Albalawi
2024 J jnl
Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis.
IEEE Access
N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, Mahesh Thylore Ramakrishna, Mohan Ellappan, Krishnamoorthy Venkatesan
2024 J jnl
Multi-class Breast Cancer Classification Using CNN Features Hybridization.
Int. J. Comput. Intell. Syst.
S. R. Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, Mahesh Thylore Ramakrishna, Ahlam Almusharraf, Eid Albalawi
2024 J jnl
Spatial Attention Integrated EfficientNet Architecture for Breast Cancer Classification with Explainable AI.
Comput. Mater. Continua
S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, Surbhi Bhatia Khan, Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Ahlam Al Musharraf, Khursheed Aurungzeb
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 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
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
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
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