This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

Reflectarray antennas (RAs) have the ability to combine the advantages of both traditional
parabolic reflector and phased array antennas without the need for feed network designs …

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 …

This article presents an in-depth exploration of machine learning (ML) and deep learning
(DL) for the optimization and design of dual-band antennas in Internet of Things (IoT) …

AbstRAct Double Elliptical Micro-strip Patch Antenna (DEMPA) is developed out of Double
Elliptical Patch (DEP) which is a recently proposed shape of patch. The use of DEP results in …

This work investigates the use of machine learning (ML) models for microstrip patch antenna
design optimization with Bayesian optimization. Based on datasets produced by CST …

Antenna design process requires Electromagnetic (EM) simulations which can be performed
on EM simulators such as HFSS, CST, ADS and IE3D etc. To solve the antenna design …

In this work, a single, accurate and fast MLP NN model is completed for the reflection
characteristic of a MRA double-layer unit element with the novel complicated patch …