Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

The smart healthcare system has improved the patients quality of life (QoL), where the
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …

Seamless Internet of Things (IoT) connections expose many vulnerabilities in wireless
networks, and IoT devices inevitably face many malicious active attacks. automatic …

Pavement defects detection has made significant progress with the development of
convolutional neural networks. Due to the topological complexity of pavement defects …

This letter proposes a transfer learning model for automatic modulation recognition (AMR)
with only a few modulated signal samples. The transfer model is trained with the audio …

Deep learning (DL)-based radiofrequency (RF) fingerprinting identification has shown
significantly growing importance in the wireless industry including 5G, IoT and Wireless …

To improve the accuracy of modulated signal recognition in variable environments and
reduce the impact of factors such as lack of prior knowledge on recognition results …

Modulation recognition is an important research branch in the field of communication, which
is widely used in civil and military fields. The classic methods depend on decision theory …

With the proliferation of wireless technologies in vehicular networks, robust automatic
modulation classification (AMC) has become crucial for optimizing spectrum utilization and …

Automatic modulation classification (AMC), which plays a significant role in wireless
communication, can recognize the modulation type of the received signal without large …