In this article, we propose a deep neural network (DNN) for the radiation pattern synthesis of
an antenna. The DNN utilizes the radiation patterns as inputs and the amplitude and phase …

In this paper, we present a method for obtaining the power density value, which is the
standard for radio frequency (RF) electromagnetic field (EMF) human exposure from …

With the rapid development of modern communication systems, phased array antennas
(PAAs) are widely used in many applications such as radars and 5G networks. In a PAA …

The numerical simulation of electromagnetic problems is usually complex and time‐
consuming, so a fast and accurate solver is urgently needed. In this paper, a deep learning …

This paper proposes a deep neural network (DNN)-based approach for radiation pattern
synthesis of 8 elements phased array antenna. For this purpose, 181 points of a desired …

In this paper, a machine learning method combining variational auto-encoder (VAE) and
back propagation network (BPNN) is proposed to predict the performance of a double-T …

Medical ultrasonic array transducers are prone to various defects due to hardware
malfunction, mechanical damages, aging, and fatigue issues. Faulty elements result in …