Zobrazeno 1 - 2
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pro vyhledávání: '"Mohhamad Asefi"'
Publikováno v:
Neural Computing and Applications. 33:13467-13479
In this paper, a multi-branch deep convolutional fusion architecture is proposed to solve electromagnetic inverse scattering problems. The conventional methods for solving inverse problems face various challenges, including strong ill-conditioning, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52dcbeec94dafe10623524fe65e1299e
https://doi.org/10.1007/s00521-021-05970-3
https://doi.org/10.1007/s00521-021-05970-3
Autor:
Khoshdel, Vahab1 (AUTHOR) khoshdev@myumanitoba.ca, Asefi, Mohhamad1 (AUTHOR), Ashraf, Ahmed1 (AUTHOR), LoVetri, Joe1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Oct2021, Vol. 33 Issue 20, p13467-13479. 13p.