Artificial Intelligence (AI) has been recently attracting a lot of research efforts to develop accurate and computationally-fast methodologies for electromagnetic (EM) imaging. This work overviews some of the most recent advances in this emerging field, by also envisaging some future trends and research directions according to the authors' vision. © 2023 IEEE.
Artificial Intelligence for EM Imaging: Recent Advances and Future Trends / Salucci, M., Tosi, L., Rosatti, P., Lusa, S., Lin, Z., Li, M., Massa, A.. - STAMPA. - (2023), pp. 48-49. (2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 Genoa, Italy 10th July -15th July 2023) [10.1109/cama57522.2023.10352857].
Artificial Intelligence for EM Imaging: Recent Advances and Future Trends
Salucci, Marco;Tosi, Luca;Rosatti, Pietro;Lusa, Samantha;Massa, Andrea
2023-01-01
Abstract
Artificial Intelligence (AI) has been recently attracting a lot of research efforts to develop accurate and computationally-fast methodologies for electromagnetic (EM) imaging. This work overviews some of the most recent advances in this emerging field, by also envisaging some future trends and research directions according to the authors' vision. © 2023 IEEE.| File | Dimensione | Formato | |
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