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
Machine Learning Based Design of Magnetic Coupler for Wirel..:
, In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Ding, Wenhua
;
Wang, Yufei
;
Chen, Tingyu
... - p. 1-4 , 2024
Link:
https://doi.org/10.1109/ISCAS58744.2024.10558175
RT T1
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
: T1
Machine Learning Based Design of Magnetic Coupler for Wireless Power Transfer
UL https://suche.suub.uni-bremen.de/peid=ieee-10558175&Exemplar=1&LAN=DE A1 Ding, Wenhua A1 Wang, Yufei A1 Chen, Tingyu A1 Luo, Mengna A1 Lei, Jinpeng A1 Liang, Yaofeng A1 Huang, Zhicong YR 2024 SN 2158-1525 K1 Coils K1 Ferrites K1 Inductance K1 Magnetic cores K1 Design methodology K1 Couplers K1 Machine learning SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS58744.2024.10558175 DO https://doi.org/10.1109/ISCAS58744.2024.10558175 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)