Applications of machine learning and deep learning in antenna design, optimization, and selection: a review

N Sarker, P Podder, MRH Mondal, SS Shafin… - IEEE …, 2023 - ieeexplore.ieee.org
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

Machine learning for design optimization of electromagnetic devices: Recent developments and future directions

Y Li, G Lei, G Bramerdorfer, S Peng, X Sun, J Zhu - Applied Sciences, 2021 - mdpi.com
This paper reviews the recent developments of design optimization methods for
electromagnetic devices, with a focus on machine learning methods. First, the recent …

An intelligent antenna synthesis method based on machine learning

D Shi, C Lian, K Cui, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An intelligent antenna synthesis method is proposed to automatically select suitable
antenna type and provide optimal geometric parameters according to the requirement of …

Machine-learning-assisted optimization for antenna geometry design

Q Wu, W Chen, C Yu, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A machine-learning-assisted optimization (MLAO) method for antenna geometry design
(AGD)(MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a …

Deep neural network-based automatic metasurface design with a wide frequency range

F Ghorbani, S Beyraghi, J Shabanpour, H Oraizi… - Scientific Reports, 2021 - nature.com
Beyond the scope of conventional metasurface, which necessitates plenty of computational
resources and time, an inverse design approach using machine learning algorithms …

Application of machine learning algorithms to model soil thermal diffusivity

K Li, R Horton, H He - International Communications in Heat and Mass …, 2023 - Elsevier
Soil thermal diffusivity (k) is an important thermal property that significantly affects ground
energy storage and heat transfer. Direct measurements of soil thermal diffusivity are …

[PDF][PDF] Ultra-wideband CPW fed band-notched monopole antenna optimization using machine learning

P Ranjan, A Maurya, H Gupta, S Yadav… - Prog. Electromagn. Res …, 2022 - academia.edu
In this article, a compact Coplanar Waveguide (CPW) fed band-notched monopole antenna
is designed and optimized. The unique feature of this article is to provide an approach for …

An efficient k-NN-based rao optimization method for optimal discrete sizing of truss structures

HA Pham, VH Dang, TC Vu, BD Nguyen - Applied Soft Computing, 2024 - Elsevier
This study proposes a new method called k-nearest neighbor comparison (k-NNC) to
address the computational cost issue of truss optimization with discrete variables using …

[PDF][PDF] Improved prediction of metamaterial antenna bandwidth using adaptive optimization of LSTM

DS Khafaga, AA Alhussan… - Computers …, 2022 - feng.stafpu.bu.edu.eg
The design of an antenna requires a careful selection of its parameters to retain the desired
performance. However, this task is time-consuming when the traditional approaches are …

Artificial intelligence used to diagnose osteoporosis from risk factors in clinical data and proposing sports protocols

L Fasihi, B Tartibian, R Eslami, H Fasihi - Scientific reports, 2022 - nature.com
Osteoporosis (OP) is characterized by diminished bone mass and deteriorating bone
structure that increases the chance of fractures in the spine, hips, and wrists. In this paper, a …