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
An Enhanced GPR FWI Scheme with Low-Frequency Data Extrapol..:
, In:
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
,
Jin, Yuchen
;
Zi, Yuan
;
Wu, Xuqing
. - p. 120-121 , 2022
Link:
https://doi.org/10.23919/USNC-URSI52669.2022.9887483
RT T1 <cTitle>2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)</cTitle>: T1 <Title>An Enhanced GPR FWI Scheme with Low-Frequency Data Extrapolated by Progressive Transfer Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9887483&Exemplar=1&LAN=DE A1 Jin, Yuchen A1 Zi, Yuan A1 Wu, Xuqing A1 Chen, Jiefu YR 2022 K1 Training K1 Deep learning K1 Ground penetrating radar K1 Geology K1 Conferences K1 Transfer learning K1 Data models SP 120 OP 121 LK http://dx.doi.org/https://doi.org/10.23919/USNC-URSI52669.2022.9887483 DO https://doi.org/10.23919/USNC-URSI52669.2022.9887483 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
