The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …

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 …

Automatic modulation classification (AMC) is a signal processing technology used to identify
the modulation type of unknown signals without prior information such as modulation …

Automatic modulation classification (AMC) is of crucial importance in the sixth generation
wireless communication networks. Deep learning (DL)-based AMC schemes have attracted …

Bolts, as the basic units of tunnel linings, are crucial to safe tunnel service. Caused by the
moist and complex environment in the tunnel, corrosion becomes a significant defect of …

In recent years, neural network algorithms have demonstrated tremendous potential for
modulation classification. Deep learning methods typically take raw signals or convert …

With the rapid development of wireless communications, industrial electromagnetic
environments are facing challenges in terms of spectrum scarcity and cyberspace threats …

Modulation recognition (MR) plays a pivotal role in tasks encompassing spectrum
management, security enforcement, and interference mitigation. This research work …

Specific emitter identification (SEI) and automatic modulation classification (AMC) are
generally two separate tasks in the field of radio monitoring. Both tasks have similarities in …