This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …

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 …

Low probability of intercept (LPI) radars are widely used in modern electromagnetic
environments due to their excellent anti-interception performance. However, this inevitably …

Measuring neuronal electrical activity, such as action potential propagation in cells, requires
the sensitive detection of the weak electrical signal with high spatial and temporal resolution …

Radar intrapulse signal modulation classification is an important work for the electronic
countermeasure and there are mainly two categories of algorithms. The deep learning …

Since the advent of CRISPR-Cas9, a groundbreaking gene-editing technology that enables
precise genomic modifications via a short RNA guide sequence, there has been a marked …

Dense false target jamming (DFTJ) is one of the most common and threatening jamming
modes, seriously affecting a radar from detecting a target. This article counters DFTJ by …

The existing research on deep learning for radar signal intra–pulse modulation classification
is mainly based on supervised leaning techniques, which performance mainly relies on a …

Automatic modulation recognition (AMR) can be used in dynamic spectrum access (DSA)
techniques to reduce the pressure on spectrum resources. In this paper, we propose a …

In this communication, an artificial intelligent method based on the prevailing multihead
attention mechanism for prediction of scattering properties of 2-D targets is presented. To …