Automatic modulation classification (AMC) using convolutional neural networks (CNNs) is
an active area of research that has the potential to improve the efficiency and reliability of …

Nowadays, automatic modulation classification (AMC) has become a key component of next-
generation drone communication systems, which are crucial for improving communication …

Automatic modulation recognition (AMR) is used in various domains—from general-purpose
communication to many military applications—thanks to the growing popularity of the …

With the advancement of internet technologies and multimedia applications, the spectrum
scarcity problem is becoming more acute. Thus, spectral-efficient schemes with minimal …

Modulation classification is one of the essential requirements in the various cognitive radio
applications where prior information about the incoming signal is unknown. The modulation …

Abstract Dynamic Treatment Regimes (DTRs) are adaptive treatment strategies that allow
clinicians to personalize dynamically the treatment for each patient based on their step-by …

The field of automatic modulation classification using deep neural networks has undergone
significant development in recent years. In this research, M-QAM and N-PSK modulation …

The intelligent reflecting surface (IRS) is a cutting-edge technology for cost-effectively
achieving future spectrum-and energy-efficient wireless communication. In particular, an IRS …

For the recognition of automated modulation, algorithms based on frequency, amplitude,
and signal phase were extensively used. But the algorithm is affected considerably by noise …