During the period of COVID-19 protection, Internet of Things (IoT) has been widely used to
fight the outbreak of pandemic. However, the security is a major issue of IoT. In this research …

Demodulating the modulated signals used in digital communication on the receiver side is
necessary in terms of communication. The currently used systems are systems with a variety …

The study aims to detect the defects in the production line of compressor, promote the
development of convolution neural network (CNN) in defect diagnosis and recognition, and …

The increasing maturity of the concepts which would allow for the operation of a practical
Cognitive Radio (CR) Network require functionalities derived through different …

Sparse code multiple access (SCMA) has attracted growing research interests and is a
promising technique in order to meet the requirements for future generation wireless …

In recent years, communication technology is developing rapidly. With an increasing number
of radio devices entering people's life there have been emerged much more communication …

This paper studies automatic modulation classification (AMC) for cognitive radio systems.
We propose a deep learning neural network approach enhanced with an intelligent attention …

A tactical wireless network is a military radio communication network supporting mission-
critical applications. Hence, a tactical wireless network demands more reliability, availability …

In recent years, with the expansion of information, artificial intelligence technology has been
developed and used in various fields. Among them, optical neural network provides a new …

The acoustic characteristics of wind instruments are a major feature in the field of vocal
music. This paper studies the application effect of wind power instrument feature extraction …