Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …

The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …

With the rapid development of the information technology, the number of devices in the
Internet of Things (IoT) is increasing explosively, which makes device identification a great …

With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Internet of Things (IoT) networks are often subject to many malicious attacks in untrusted
environments, and automatic modulation classification (AMC) is an effective way to combat …

Deep learning based intelligent intrusion detection (IID) methods have been received
strongly attention for computer security protection in cybersecurity. All these learning models …

In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

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