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Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging
| dc.contributor.author | Salucci, M. | |
| dc.contributor.author | Arrebola Baena, Manuel | |
| dc.contributor.author | Shan, T. | |
| dc.contributor.author | Li, M. | |
| dc.date.accessioned | 2022-11-08T12:42:30Z | |
| dc.date.available | 2022-11-08T12:42:30Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | IEEE Transactions on Antennas and Propagation, 70(8), p. 6349-6364 (2022); doi:10.1109/TAP.2022.3177556 | |
| dc.identifier.issn | 0018-926X | |
| dc.identifier.uri | http://hdl.handle.net/10651/65326 | |
| dc.description.sponsorship | This work benefited from the networking activities carried out within the Project ”CYBER-PHYSICAL ELECTROMAGNETIC VISION: Context-Aware Electromagnetic Sensing and Smart Reaction (EMvisioning)” (Grant no. 2017HZJXSZ) funded by the Italian Ministry of Education, University, and Research within the PRIN2017 Program (CUP: E64I19002530001) and the Project ”SMARTOUR - Piattaforma Intelligente per il Turismo” (Grant no. SCN 00166) funded by the Italian Ministry of Education, University, and Research within the Program ”Smart cities and communities and Social Innovation” (CUP: E44G14000040008). The work was also supported in part by the Spanish Ministry of Science and Innovation and the Spanish Agency for Research within project ENHANCE-5G (PID2020-114172RB-C21 / AEI / 10.13039/501100011033) and the Government of Principality of Asturias within project AYUD/2021/51706. It was also supported in part by the National Natural Science Foundation of China (61971263), the National Key R&D Program of China (2018YFC0603604), Institute for Precision Medicine, Tsinghua University, Beijing, China, and THE XPLORER PRIZE. | |
| dc.format.extent | p. 6349-6364 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Transactions on Antennas and Propagation | |
| dc.rights | © IEEE 2022 | |
| dc.rights | CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131758399&doi=10.1109%2fTAP.2022.3177556&partnerID=40&md5=bc9fdd61dc7bec556b17cb2a08dfb340 | |
| dc.title | Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1109/TAP.2022.3177556 | |
| dc.relation.projectID | AEI/PID2020-114172RB-C21 | |
| dc.relation.projectID | AYUD/2021/51706 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1109/TAP.2022.3177556 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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