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
Deep Learning for Applications to Ground Penetrating Radar ..:
, In:
2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)
,
Ponti, F.
;
Barbuto, F.
;
Di Gregorio, P. P.
... - p. 547-551 , 2019
Link:
https://doi.org/10.1109/PIERS-Spring46901.2019.9017753
RT T1 <cTitle>2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)</cTitle>: T1 <Title>Deep Learning for Applications to Ground Penetrating Radar and Electromagnetic Diagnostic</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9017753&Exemplar=1&LAN=DE A1 Ponti, F. A1 Barbuto, F. A1 Di Gregorio, P. P. A1 Mangini, F. A1 Simeoni, P. A1 Troiano, M. A1 Frezza, F. YR 2019 SN 1559-9450 K1 Ground penetrating radar K1 Training K1 Permittivity K1 Springs K1 Electromagnetics K1 Machine learning K1 Photonics SP 547 OP 551 LK http://dx.doi.org/https://doi.org/10.1109/PIERS-Spring46901.2019.9017753 DO https://doi.org/10.1109/PIERS-Spring46901.2019.9017753 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
