Machine learning-based approach for bandwidth and frequency prediction of circular SIW antenna

Machine learning-based approach for bandwidth and frequency prediction of circular SIW antenna

Abstract Machine Learning (ML) has significantly transformed antenna design by enabling efficient optimization of geometrical parameters, modeling complex electromagnetic behavior, and accelerating performance prediction with reduced computational cost. This study presents an ML-based approach to ac...

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Bibliographic Details
Main Authors: Md Mahabub Alam, Nurhafizah Abu Talip Yusof, Ahmad Afif Mohd Faudzi, Md Raihanul Islam Tomal, Md Ershadul Haque, Md. Suaibur Rahman
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Journal of King Saud University: Engineering Sciences
Subjects:
SIW
Resonance frequency
Bandwidth
Machine learning
K and Ka-band
Satellite communication
Online Access:https://doi.org/10.1007/s44444-025-00010-0
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https://doi.org/10.1007/s44444-025-00010-0

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