Analysis and classification of satellite images from diverse sources, including remote sensing and satellite devices, have been explored to understand the dynamics of land use. However, due to their ...

Deep learning has attracted wide attention recently because of its excellent feature representation ability and end-to-end automatic learning method. Especially in clinical medical imaging diagnosis, ...

This study explores the feasibility of using RbACNN and IRbACNN models for early-stage AD and PD classification from medical images. By leveraging these advanced deep learning techniques, the research ...