Radar target detection (RTD) is a fundamental but important process of the radar system,
which is designed to differentiate and measure targets from a complex background. Deep …

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 …

The proposed work conducts a new approach for modeling a dual band monopole antenna
design using DGS assisted by ANN. In the aim of efficient dual band antenna design with …

A C-shaped split ring resonator-based metamaterial (MTM) structure placed on a patch
antenna is proposed. An artificial neural network (ANN) is applied to design and determine …

This paper presents a system based on artificial neural network (ANN) that predicts ground
plane design for desired radiation properties of a monopole antenna with operation band of …

Recently, machine learning has received a great deal of attention thanks to its success in a
range of applications in engineering science, medicine, and economics. The new …

The process of designing microwave devices is difficult and time-consuming because the
analytical and numerical methods used in the design process are complex. Therefore, it is …

Artificial neural networks (ANN) have gained popularity in microwave modeling, design and
simulations. This article is devoted to designing efficient antenna to achieve high gain and …

In this paper a Neural Network model for the design of a Microstrip Patch Antenna for an
Ultrawideband frequency range is presented. The reduced ground size is used to enhance …

A novel design of a wideband antenna is proposed in this paper for monitoring the blood
glucose concentration in the human body. The designed antenna uses a metamaterial in the …