Kaitlan Collins' career and style journey -- from her days as a student journalist to CNN -- has long been marked by ...

Implemented Image captioning is becoming a need. Deep neural network models enable integrated applications to generate and caption images. Image captioning describes an image. It requires identifying ...

Object detection using deep learning, one of the most challenging problems in computer vision, seeks to locate instances of objects from a large number of predefined categories in natural images.

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Automatic modulation classification (AMC) is one of the major challenges for cognitive radio (CR), which can enhance the spectrum utilization efficiency. In this study, a hybrid signal and image-based ...

Deep learning has been applied in physical-layer communications systems in recent years and has demonstrated fascinating results that were comparable or even better than human expert systems. In this ...

The rapid development of the road traffic systems is a very important component of the nation’s infrastructure, and that is reflected in growing importance of the traffic safety. Traffic Sign ...

This paper addresses the challenge of anti-jamming in orthogonal time frequency space (OTFS) modulation systems by proposing a novel anti-jamming decoder. The design of this decoder presents ...