This paper presents a novel approach to reducing undesirable coupling in antenna arrays
using custom-designed resonators and inverse surrogate modeling. To illustrate the …

To improve the convenience and efficiency of antenna design, in this article, a novel inverse
artificial neural network (ANN) model is proposed in which antenna performance indexes …

The importance of surrogate modeling techniques has been gradually increasing in the
design of antenna structures over the recent years. Perhaps the most important reason is a …

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 study, the growing scientific field of alternative biofuels was examined, with respect to
hydrochars produced from renewable biomasses. Hydrochars are the solid products of …

The awareness and practical benefits of behavioral modeling methods have been steadily
growing in the antenna engineering community over the last decade or so. Undoubtedly, the …

An efficient knowledge-based artificial neural network (KBANN) is proposed, and it is used
for the design of circularly polarized (CP) lens antenna in this article. In this KBANN, forward …

Electromagnetic (EM)-driven parameter adjustment has become imperative in the design of
modern antennas. It is necessary because the initial designs rendered through topology …

We present a general approach for antenna design and optimization based on consensus of
results from a number of independently trained deep neural networks (DNNs). The aim of …

Frequency selective surface (FSS) is critical for electromagnetic (EM) radiation protection
due to its high spatial filtering performance, especially for active FSS. Recently, the artificial …