Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Abstract: In wireless communication systems, automatic modulation classification is crucial. In communication applications such as intelligent demodulators, interference detection, and monitoring, ...
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
Abstract: Remote sensing and satellite imaging technologies have developed rapidly so that the end-user can easily obtain large amounts of high spatial resolution images for land classification ...