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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 …
Phased array antenna diagnosis from amplitude-only data using parallel deep learning models
DKB Kulevome, H Wang, X Wang… - Journal of Applied …, 2023 - spiedigitallibrary.org
There is a need for a reliable diagnostic process that can provide the information required to
maintain optimal operating conditions of phased array antennas. The phase and amplitude …
maintain optimal operating conditions of phased array antennas. The phase and amplitude …
Detecting failed elements in an arbitrary antenna array using machine learning
L de Lange, DJ Ludick… - … on Electromagnetics in …, 2019 - ieeexplore.ieee.org
The failure of antenna array elements leads to inaccurate far-field radiation patterns. When
failed elements are present in an antenna array used for sensitive applications, it will …
failed elements are present in an antenna array used for sensitive applications, it will …
Failure diagnosis of microstrip antenna array based on convolutional neural network
Antenna failure diagnosis is one of the essential problems in the area of radar and wireless
communications. In this paper, a new method based on convolutional neural network (CNN) …
communications. In this paper, a new method based on convolutional neural network (CNN) …
Failure diagnosis of antenna array using residual convolutional neural network
G Zheng, Q Zhang, S Li - 2021 International Applied …, 2021 - ieeexplore.ieee.org
The failure of antenna array elements will lead to the change of far-field pattern, so the
failure diagnosis of antenna array can be carried out according to the far-field pattern data …
failure diagnosis of antenna array can be carried out according to the far-field pattern data …
[КНИГА][B] Intelligent Devices for IoT Applications
MSI Sagar - 2023 - search.proquest.com
Abstract Internet of Things (IoT) devices refer to a vast network of physical devices that are
connected to the internet and can communicate with each other through sensors and …
connected to the internet and can communicate with each other through sensors and …
Pattern Compensation of a Planar Phased Array with Centre Elements Phase Malfunctioning Using a Genetic Algorithm
RAB Saleem, AA Shah, H Munsif, AI Najam… - Progress in …, 2024 - jpier.org
A phase-only and amplitude-phase genetic algorithm (GA) has been investigated to restore
the array pattern of a 4× 2 planar array in the presence of centre-elements phase …
the array pattern of a 4× 2 planar array in the presence of centre-elements phase …
A Study on Fault Diagnosis for Planar Active Phased Array Antenna
JW Jung, SH Kang - The Journal of the Korea institute of electronic …, 2023 - koreascience.kr
A radiating elements fault diagnosis method with simplified radiation pattern measurement
procedure was presented for planar active phased array antenna system. For presenting the …
procedure was presented for planar active phased array antenna system. For presenting the …
Robust multiview feature selection via view weighted
J Zhong, P Zhong, Y Xu, L Yang - Multimedia Tools and Applications, 2021 - Springer
In recent years, combining the multiple views of data to perform feature selection has been
popular. As the different views are the descriptions from different angles of the same data …
popular. As the different views are the descriptions from different angles of the same data …
Machine learning for antenna array failure analysis
L De Lange - 2020 - scholar.sun.ac.za
This work investigated the use of machine learning to detect failed elements in an antenna
array. The aim was to identify a trustworthy means of early detection and isolation of faulty …
array. The aim was to identify a trustworthy means of early detection and isolation of faulty …