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
Development of Delamination Detection System for Concrete D..:
Takahiro Kashiwa
;
Kohei Nagai
;
Hitoshi Tatsuta
...
http://www.mdpi.com/2504-3900/2/8/418. , 2018
Link:
https://doi.org/10.3390/ICEM18-05281
RT Journal T1
Development of Delamination Detection System for Concrete Decks by Using Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:3132f99578794a40a36a3fae417770b7&Exemplar=1&LAN=DE A1 Takahiro Kashiwa A1 Kohei Nagai A1 Hitoshi Tatsuta A1 Helmut Prendinger A1 Kou Ibayashi A1 Juan José Rubio Guillamón PB MDPI AG YR 2018 K1 damage detection K1 delamination K1 regular inspection K1 machine learning K1 fully convolutional network K1 General Works K1 A JF http://www.mdpi.com/2504-3900/2/8/418 LK http://dx.doi.org/https://doi.org/10.3390/ICEM18-05281 DO https://doi.org/10.3390/ICEM18-05281 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)