Novel Machine Learning for Human Actions Classification Using Histogram of Oriented Gradients and Sparse Representation. - B. Uma Maheswari; R. Sonia; M. P. Rajakumar; J. Ramya (Inf. Technol. Control., 2021)

Health monitoring and fault prediction using a lightweight deep convolutional neural network optimized by Levy flight optimization algorithm. - M. P. Rajakumar; J. Ramya; B. Uma Maheswari (Neural Comput. Appl., 2021)

HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification. - J. Ramya; M. P. Rajakumar; B. Uma Maheswari (Neural Comput. Appl., 2021)

Alzheimer's Disease Segmentation and Classification on MRI Brain Images Using Enhanced Expectation Maximization Adaptive Histogram (EEM-AH) and Machine Learning. - J. Ramya; B. Uma Maheswari; M. P. Rajakumar; R. Sonia (Inf. Technol. Control., 2022)

Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images. - J. Ramya; M. P. Rajakumar; B. Uma Maheswari (J. Digit. Imaging, 2022)

Dynamic differential annealing-based anti-spoofing model for fingerprint detection using CNN. - B. Uma Maheswari; M. P. Rajakumar; J. Ramya (Neural Comput. Appl., 2022)

Medical Image Segmentation and Classification Using Modified DoubleU-Net and PolyNet Deep Neural Networks. - S. Sasikumar; R. Pugalenthi; G. M. Sasikala; M. P. Rajakumar (Int. J. Pattern Recognit. Artif. Intell., 2023)