At present, the design of modern vehicles requires improving driving performance while
meeting emission standards, leading to increasingly complex power systems. In …

Ensuring network security, effective malware detection (MD) is of paramount importance.
Traditional methods often struggle to accurately learn and process the characteristics of …

Cyber security has always been an important issue in the Internet of Everything topic. In the
physical layer of the Internet, specific emitter identification (SEI) technology is widely …

Radio frequency fingerprints are commonly exploited as a unique signature in the physical
layer for distinguishing transmitters in transmitter identification systems (TISs). In response to …

Recently, the use of unmanned aerial vehicle (UAV) imagery for object detection in forest fire
detection has gained significant attention and has shown remarkable performance …

Predicting spectrum plays an importance role in cognitive networks, which is the key to
address the issue of spectrum scarcity. Deep learning methods for spectrum prediction have …

Automatic modulation classification (AMC) holds a significant position in physical layer
security, offering an innovative method to enhance the security of data transmission and anti …

Specific emitter identification (SEI) based on unavoidable hardware impairments of
transmitters has emerged as a potential technology for physical layer authentication of …

With the development of wireless technology and the Internet of Things (IoT), managing
limited spectrum resources has become crucial. As the IoT landscape grows, more effective …

Automatic modulation classification (AMC) plays a crucial role in wireless communication by
identifying the modulation scheme of received signals, bridging signal reception and …