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
Surface Defect Detection for Die Castings Based on the Impr..:
, In:
2023 International Conference on Advanced Robotics and Mechatronics (ICARM)
,
Zhang, Hui
;
Xu, Xiangrong
;
Zhu, Zuojun
... - p. 953-958 , 2023
Link:
https://doi.org/10.1109/ICARM58088.2023.10218864
RT T1
2023 International Conference on Advanced Robotics and Mechatronics (ICARM)
: T1
Surface Defect Detection for Die Castings Based on the Improved YOLOv5 Method
UL https://suche.suub.uni-bremen.de/peid=ieee-10218864&Exemplar=1&LAN=DE A1 Zhang, Hui A1 Xu, Xiangrong A1 Zhu, Zuojun A1 You, Tianya A1 Li, Qiqi A1 Li, Dan YR 2023 K1 Fault diagnosis K1 Powders K1 Mechatronics K1 Machine learning algorithms K1 Transfer learning K1 Classification algorithms K1 Metallurgy SP 953 OP 958 LK http://dx.doi.org/https://doi.org/10.1109/ICARM58088.2023.10218864 DO https://doi.org/10.1109/ICARM58088.2023.10218864 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)