Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...

Abstract: In recent years, federated learning-based network traffic classification has emerged as a promising Artificial Intelligence (AI) approach for encrypted traffic identification, enabling ...