Unmanned aerial vehicles (UAVs) can be used for a variety of illegal activities (eg, industrial
espionage, smuggling, terrorism). Given their growing popularity and availability, and …

Automatic modulation classification (AMC) is an impressive technology, which is widely
used in military and civilian fields. Recently, deep learning-based AMC (DL-AMC) methods …

Currently, deep learning methods with stacking small size convolutional filters are widely
used for automatic modulation classification (AMC). In this report, we find some experienced …

The Internet of Things (IoT) represents one of the pivotal technologies in our daily lives.
Within these systems, wireless communication plays an indispensable role in connecting IoT …

The previous modulation recognition models based on deep learning ignore the signal's
complex characteristics and only consider the information carried by the signal in a single …

Detecting violence in real time videos is not an easy task even for the most advanced deep
learning architectures, considering the subtle details of human behavior that differentiate an …

Modulation classification is a crucial technique to utilize the unconsumed spectrum in
Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) systems to meet the required …

Deep learning method has been gradually applied to Automatic Modulation Classification
(AMC) because of its excellent performance. In this paper, a lightweight one-dimensional …

The manually extracted features based automatic modulation classification algorithms have
high computational complexity. In this paper, we introduce a low complex deep neural …

Automatic Modulation Recognition (AMR) is crucial for optimizing communication systems,
facilitating effective spectrum management and robust signal processing. Traditional AMR …