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
A novel vision-based method for loosening detection of mark..:
Deng, Xinjian
;
Liu, Jianhua
;
Gong, Hao
.
Journal of Intelligent Manufacturing. 34 (2022) 6 - p. 2581-2597 , 2022
Link:
https://doi.org/10.1007/s10845-022-01948-7
RT Journal T1 <Title>A novel vision-based method for loosening detection of marked T-junction pipe fittings integrating GAN-based segmentation and SVM-based classification algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s10845-022-01948-7&Exemplar=1&LAN=DE A1 Deng, Xinjian A1 Liu, Jianhua A1 Gong, Hao A1 Huang, Jiayu PB Springer Science and Business Media LLC YR 2022 SN 0956-5515 SN 1572-8145 JF Journal of Intelligent Manufacturing VO 34 IS 6 SP 2581 OP 2597 LK http://dx.doi.org/https://doi.org/10.1007/s10845-022-01948-7 DO https://doi.org/10.1007/s10845-022-01948-7 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
