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 …
Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna
In this study, we present our findings from investigating the use of a machine learning (ML)
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …
An efficient antenna parameters estimation using machine learning algorithms
R Ramasamy, MA Bennet - Progress in Electromagnetics Research C, 2023 - jpier.org
A smart antenna synthesis approach is described as automatically choosing the optimum
antenna type and providing the best geometric characteristics under the demands of …
antenna type and providing the best geometric characteristics under the demands of …
Machine learning-based reflection coefficient and impedance prediction for a meandered slot patch antenna
This article presents a real-time tuning approach for the impedance matching circuit of a
slotted patch antenna across a broad frequency spectrum. A regression-based machine …
slotted patch antenna across a broad frequency spectrum. A regression-based machine …
Performance prediction of dielectric resonator based MIMO antenna for sub-6.0 GHz using machine learning algorithms
In this article, a dual port dielectric resonator antenna is modeled using various machine
learning algorithms ie deep neural network (DNN), Random Forest, and XG boost. The …
learning algorithms ie deep neural network (DNN), Random Forest, and XG boost. The …
Effective modeling of metasurface‐loaded circularly polarized dielectric resonator‐based MIMO antenna for sub‐6.0‐GHz band using machine learning algorithms
In this article, a dual‐port dielectric resonator antenna (DRA) is modeled using machine
learning (ML) algorithms, that is, deep neural network (DNN), random forest, and XGBoost …
learning (ML) algorithms, that is, deep neural network (DNN), random forest, and XGBoost …
based performance estimation of a slotted inverted F-shaped tri-band antenna for satellite/mm-wave 5G application
In this research, we explain comprehensive industrial and innovation results on using an
artificial neural network (ANN) method to improve the performance of microstrip patch …
artificial neural network (ANN) method to improve the performance of microstrip patch …
Artificial Intelligence Assisted Design Optimization of Monopole Antenna
S Das, AK Kundu - International Ethical Hacking Conference, 2024 - Springer
A frequency reconfigurable flexible monopole antenna for wearable application is
demonstrated in this article. Initially, the antenna consists of a tuning fork-shaped patch for …
demonstrated in this article. Initially, the antenna consists of a tuning fork-shaped patch for …
Enhanced Antenna Design through Hyper parameter Optimization of Diverse Machine Learning Models Using Bayesian Optimization
CH Huang, A Ali, CC Hsu, HH Tsao - 2024 - researchsquare.com
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 …
design optimization with Bayesian optimization. Based on datasets produced by CST …
[PDF][PDF] Exploring Innovative Methods for Dielectric Resonator Antenna Design with HFSS and Machine Learning Integration
MV Suraj, R Padmasree, M Ankitha - International Journal of Computer … - researchgate.net
ABSTRACT The Dielectric Resonator Antenna (DRA) stands out as a distinctive antenna
type, diverging from traditional metallic components by employing a dielectric resonator …
type, diverging from traditional metallic components by employing a dielectric resonator …