AI-Driven Design of a Quasi-Digitally-Coded Wideband Microstrip Patch Antenna Array-Reference-Cited by-同舟云学术

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AI-Driven Design of a Quasi-Digitally-Coded Wideband Microstrip Patch Antenna Array

Published:2024-03-17 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 18th European Conference on Antennas and Propagation (EuCAP)
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Author:

Akinsolu Mobayode O.¹,Al-Yasir Yasir I. A.²,Hua Qiang³,See Chan⁴,Liu Bo⁵

Affiliation:

1. Wrexham University,Faculty of Arts, Computing and Engineering,U.K.

2. University of Bradford,Faculty of Engineering and Informatics,U.K.

3. School of Computing and Engineering, University of Huddersfield,U.K.

4. School of Computing Engineering and the Built Environment, Edinburgh Napier University,U.K.

5. James Watt School of Engineering, University of Glasgow,U.K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10500901/10500902/10501667.pdf?arnumber=10501667

Reference18 articles.

1. Machine-learning-assisted optimization and its application to antenna designs: Opportunities and challenges

2. A Dual-Polarized Bandwidth Enhanced Filtering Dipole Antenna Design for 5G

3. Improved-Efficacy EM-Driven Optimization of Antenna Structures Using Adaptive Design Specifications and Variable-Resolution Models

4. Software Solutions for Antenna Design Exploration: A Comparison of Packages, Tools, Techniques, and Algorithms for Various Design Challenges

5. A review on the design and optimization of antennas using machine learning algorithms and techniques

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