Deep Boltzmann machine algorithm for accurate medical image analysis for classification of cancerous region. - Pandia Rajan Jeyaraj; Edward Rajan Samuel Nadar (Cogn. Comput. Syst., 2019)

Dynamic image reconstruction and synthesis framework using deep learning algorithm. - Pandia Rajan Jeyaraj; Edward Rajan Samuel Nadar (IET Image Process., 2020)

High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks. - Pandia Rajan Jeyaraj; Edward Rajan Samuel Nadar (Int. J. Imaging Syst. Technol., 2020)

Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System. - Pandia Rajan Jeyaraj; S. Edward Rajan; Roshan Joy Martis; Bijaya K. Panigrahi (J. Medical Syst., 2020)

Adaptive machine learning algorithm employed statistical signal processing for classification of ECG signal and myoelectric signal. - Pandia Rajan Jeyaraj; Edward Rajan Samuel Nadar (Multidimens. Syst. Signal Process., 2020)

Electric vehicle optimum charging-discharging scheduling with dynamic pricing employing multi agent deep neural network. - Belqasem Aljafari; Pandia Rajan Jeyaraj; Aravind Chellachi Kathiresan; Thanikanti Sudhakar Babu (Comput. Electr. Eng., 2023)

Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network. - Pandia Rajan Jeyaraj; Edward Rajan Samuel Nadar (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

MR image restoration and segmentation via denoising deep adversarial network for blood vessels accurate diagnosis. - Pandia Rajan Jeyaraj; Edward Rajan Samuel Nadar (Signal Process. Image Commun., 2023)

Reliability analysis and Terahertz characterization of circuit board defect employing branchy neural network in edge-cloud fusion architecture. - Mohana Karthiga Pasumponthevar; Pandia Rajan Jeyaraj (Eng. Appl. Artif. Intell., 2024)