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

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 …

Machine unlearning (MU) is gaining increasing attention due to the need to remove or
modify predictions made by machine learning (ML) models. While training models have …

Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …

Deep learning (DL) has been widely applied in automatic modulation classification (AMC),
while the superb performance highly depends on high-quality datasets. Motivated by this …

The prediction of stock price has always been a main challenge. The time series of stock
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …

With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …

With the rapid development of deep learning (DL) in recent years, automatic modulation
recognition (AMR) with DL has achieved high accuracy. However, aiming to obtain higher …

Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …