In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …

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

Exploration of optoelectronic memristors with the capability to combine sensing and
processing functions is required to promote development of efficient neuromorphic vision. In …

The purpose is to solve the security problems of the Cooperative Intelligent Transportation
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …

Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …

Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …

Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …

Deep learning (DL) models are vulnerable to adversarial attacks, by adding a subtle
perturbation which is imperceptible to the human eye, a convolutional neural network (CNN) …

Beamforming is considered as one of the most important techniques for designing advanced
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …

Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …