This paper presents a focused and comprehensive literature survey on the use of machine
learning (ML) in antenna design and optimization. An overview of the conventional …

Technological advancement in wireless communication systems has spurred a rapid growth
in ultra-wideband (UWB) technology over the last decade. One of the key components of …

Multi-parametric synthesis modeling of UWB antennas using artificial neural network (ANN)
is presented in this paper. A monopole antenna with band notch characteristics is designed …

High-frequency (HF) and ultrahigh-frequency (UHF) dual-band radio frequency identification
(RFID) tags with both near-field and farfield communication can meet different application …

This paper introduces artificial neural network (ANN) modelling of a UWB antenna. A
beveled stepped rectangular monopole antenna with truncated partial ground plane is …

The design of UWB antennas is a complex process that involves many design parameters
and constraints, such as the physical layout of the antenna, the frequency range, and the …

This paper investigates the feasibility of using artificial neural networks (ANN) to establish
the design parameters of the bended dipole antenna. The feedforward backpropagation …

1.1 Background With the growing research and development of ubiquitous wireless
technology, our everyday life is becoming covered with wireless devices. These devices …

High wearability and low intrusivity are increasingly common characteristics of new
generations of electronic personal devices. Given the high number of devices used by the …