Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
Application of machine learning in electromagnetics: Mini-review
As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …
and versatile than ever before, thus making it necessary to adopt new techniques to …
Solving optimization problems of metamaterial and double T-shape antennas using advanced meta-heuristics algorithms
This study offers an adaptive dynamic sine cosine fitness grey wolf optimizer (ADSCFGWO)
for optimizing the parameters of two types of antennas. The two types of antennas are …
for optimizing the parameters of two types of antennas. The two types of antennas are …
Dual-polarized highly folded bowtie antenna with slotted self-grounded structure for sub-6 GHz 5G applications
M Alibakhshikenari, BS Virdee, CH See… - … on Antennas and …, 2021 - ieeexplore.ieee.org
In this communication, a novel dual-polarized highly folded self-grounded Bowtie antenna
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …
An efficient method for antenna design based on a self-adaptive Bayesian neural network-assisted global optimization technique
Gaussian process (GP) is a very popular machine learning method for online surrogate-
model-assisted antenna design optimization. Despite many successes, two improvements …
model-assisted antenna design optimization. Despite many successes, two improvements …
An efficient method for complex antenna design based on a self adaptive surrogate model-assisted optimization technique
Surrogate models are widely used in antenna design for optimization efficiency
improvement. Currently, the targeted antennas often have a small number of design …
improvement. Currently, the targeted antennas often have a small number of design …
Generalized formulation of response features for reliable optimization of antenna input characteristics
A Pietrenko-Dabrowska, S Koziel - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Electromagnetic (EM)-driven parameter adjustment has become imperative in the design of
modern antennas. It is necessary because the initial designs rendered through topology …
modern antennas. It is necessary because the initial designs rendered through topology …
Tandem neural network based design of multiband antennas
We present a deep neural network-based framework for designing multiband microstrip
antennas given a desired impedance matching spectrum. The approach enables a design …
antennas given a desired impedance matching spectrum. The approach enables a design …
Design and optimization of a slotted monopole antenna for ultra-wide band body centric imaging applications
This paper presents a cost-efficient design, optimization and physical implementation of a
compact slotted ultra-wideband (UWB) monopole antenna for body-centric imaging …
compact slotted ultra-wideband (UWB) monopole antenna for body-centric imaging …
A wideband low-RCS metasurface-inspired circularly polarized slot array based on AI-driven antenna design optimization algorithm
Q Zheng, C Guo, J Ding, MO Akinsolu… - … on Antennas and …, 2022 - ieeexplore.ieee.org
A metasurface (MS)-inspired low-profile circularly polarized (CP) slot array with a wide CP
band and broadband low radar cross section (RCS) is proposed in this communication. The …
band and broadband low radar cross section (RCS) is proposed in this communication. The …