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 …

Background Urine cytology is an important non-invasive examination for urothelial
carcinoma (UC) diagnosis and follow-up. We aimed to explore whether artificial intelligence …

Due to the uncertainty of non-cooperative communication channels, the received signals
often contain various impairment factors, leading to a significant decline in the performance …

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

As targets floating on the sea surface get more invisible, it is becoming vital and challenging
to effectively detect small targets from strong sea clutter. However, fitting the distribution of …

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

Automatic modulation recognition is a necessary part of cooperative and noncooperative
communication systems and plays an important role in military and civilian fields. Although …

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 …

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 …