Understanding and solving complex problems in the physical world has been an intelligent endeavor of humankind. Moreover, the study of artificial intelligence (AI) embodies the dream of designing machines like humans. Research in deep-learning (DL) techniques has attracted much attention in many application areas. With the help of big data technology, massive parallel computing, and fast optimization algorithms, DL has greatly improved the performance of many problems in speech and image processing, power transportation networks, and bio-electromagnetics, among others.

Guest Editorial Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging / Arrebola, M; Li, Mk; Salucci, M. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - STAMPA. - 2022, 70:8(2022), pp. 6131-6134. [10.1109/TAP.2022.3198305]

Guest Editorial Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging

Salucci, M
2022-01-01

Abstract

Understanding and solving complex problems in the physical world has been an intelligent endeavor of humankind. Moreover, the study of artificial intelligence (AI) embodies the dream of designing machines like humans. Research in deep-learning (DL) techniques has attracted much attention in many application areas. With the help of big data technology, massive parallel computing, and fast optimization algorithms, DL has greatly improved the performance of many problems in speech and image processing, power transportation networks, and bio-electromagnetics, among others.
2022
8
Arrebola, M; Li, Mk; Salucci, M
Guest Editorial Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging / Arrebola, M; Li, Mk; Salucci, M. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - STAMPA. - 2022, 70:8(2022), pp. 6131-6134. [10.1109/TAP.2022.3198305]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/383335
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