I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Using Tandem Neural Networks to Observe Jones Matrix Parame..:
, In:
2024 IEEE International Conference on Computational Electromagnetics (ICCEM)
,
Liu, Cong
;
Yuan, Yueyi
;
Wang, Yuxiang
. - p. 1-2 , 2024
Link:
https://doi.org/10.1109/ICCEM60619.2024.10559061
RT T1 <cTitle>2024 IEEE International Conference on Computational Electromagnetics (ICCEM)</cTitle>: T1 <Title>Using Tandem Neural Networks to Observe Jones Matrix Parameters</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10559061&Exemplar=1&LAN=DE A1 Liu, Cong A1 Yuan, Yueyi A1 Wang, Yuxiang A1 Zhang, Kuang YR 2024 SN 2768-2552 K1 Deep learning K1 Training K1 Neural networks K1 Metasurfaces K1 Computational electromagnetics K1 Regulation K1 Structural engineering SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.1109/ICCEM60619.2024.10559061 DO https://doi.org/10.1109/ICCEM60619.2024.10559061 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
