Automatic modulation classification is a task that is essentially required in many intelligent
communication systems such as fibre‐optic, next‐generation 5G or 6G systems, cognitive …

Automatic modulation classification (AMC) is one of the major challenges for cognitive radio
(CR), which can enhance the spectrum utilization efficiency. In this study, a hybrid signal and …

In this paper, a novel deep learning-based robust automatic modulation classification (AMC)
method is proposed for cognitive radio networks. Generally, as network input of AMC …

Tiny machine learning (TinyML) has become an emerging field according to the rapid
growth in the area of the internet of things (IoT). However, most deep learning algorithms are …

This study aims to speed up the progress of scientific research projects in colleges and
universities, continuously improve the innovation ability of scientific research teams in …

Convolutional neural network (CNN) models have recently demonstrated impressive
classification and recognition performance on image and video processing scope. In this …

The automatic modulation classification for surface and underwater sensors in the
perception layer is crucial in the Internet of Underwater Things (IoUT), where deep learning …

Automatic modulation classification (AMC) is an essential technique in intelligent receivers
of non-cooperative communication systems such as cognitive radio networks and military …

ABSTRACT A challenging problem for post-disaster emergency services is how to quickly
and precisely acquire building damage with limited time and computation resources. With …

In order to pursue rapid development of the new generation of wireless communication
systems and elevate their security and efficiency, this paper proposes a novel scheme for …