All Outputs (2)

Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. (2023)
Journal Article
AHMMED, S., PODDER, P., MONDAL, M.R.H., RAHMAN, S.M.A., KANNAN, S., HASAN, M.J., ROHAN, A. and PROSVIRIN, A.E. 2023. Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. Biomedinformatics [online], 3(4), pages 1124-1144. Available from: https://doi.org/10.3390/biomedinformatics3040068

This study focuses on leveraging data-driven techniques to diagnose brain tumors through magnetic resonance imaging (MRI) images. Utilizing the rule of deep learning (DL), we introduce and fine-tune two robust frameworks, ResNet 50 and Inception V3,... Read More about Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis..

A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. (2023)
Journal Article
BHADRA, S., PANDA, A., BHOWMICK, P. and KANNAN, S. 2023. A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. Journal of control and decision [online], Latest Articles. Available from: https://doi.org/10.1080/23307706.2023.2202183

This paper proposes a model-based reference tracking scheme for stable, MIMO, nonlinear processes. A Joint Unscented Kalman Filtering technique is exploited here to develop a stochastic model of the physical process via simultaneous estimation of the... Read More about A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter..