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

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 …

Recently, deep learning-based image classification and speech recognition approaches
have made extensive use of attention mechanisms to achieve state-of-the-art recognition …

Automatic modulation recognition (AMR) of radio signals is becoming increasingly important
due to its key role in wireless communication system management, monitoring, and control …

Robustness against noise is critical for modulation recognition (MR) approaches deployed
in real-world communication systems. In MR systems, a corrupted signal is normally …

Automatic modulation classification (AMC) is the key technique in both military and civilian
wireless communication. However, the performance is unsatisfactory, even several deep …

The application of deep learning improves the processing speed and the accuracy of
automatic modulation recognition (AMR). As a result, it realizes intelligent spectrum …

Timely diagnosis and accurate identification of grape leaf diseases are decisive for
controlling the spread of disease and ensuring the healthy development of the grape …

We present an automatic signal modulation classification model using combinatorial deep
learning technique. Our proposed deep learning model increase accuracy for low Signal-to …

With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …