Volume 3 , Issue 1 , PP: 08-20, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Nima Khodadadi 1 * , Mostafa Abotaleb 2 , Pushan Kumar Dutta 3
Doi: https://doi.org/10.54216/JAIM.030101
The use of machine learning (ML) and deep learning (DL) algorithms to solve mathematical issues in wireless communications has propelled AI-assisted communications to the forefront in recent years. Beginning with an overview of AI, CEM, and the function of AI/ML/DL in antennas, this paper moves on to discuss the topic in more depth. In this article, we show the results of our research into ML/DL algorithms and the methods we used to optimize antenna settings using these algorithms. Finally, we show several examples of how AI can be used in antennas.
Artificial Intelligence , Antenna Optimization technique , Deep learning , Machine learning.
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