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
Self-adaptive Methods with Flexible Detection Criteria of t..:
, In:
Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition
,
De, Chen
;
Dong, Yan Qing
;
Xiong, Zhou Jun
... - p. 1-8 , 2023
Link:
https://dl.acm.org/doi/10.1145/3596286.3596296
RT T1
Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition
: T1
Self-adaptive Methods with Flexible Detection Criteria of the Battery Cell Dent Defect
UL https://suche.suub.uni-bremen.de/peid=acm-3596296&Exemplar=1&LAN=DE A1 De, Chen A1 Dong, Yan Qing A1 Xiong, Zhou Jun A1 Hai, Wang A1 Xian, Du Yi A1 Peng, Li Shi PB ACM YR 2023 K1 defect detection of battery cell K1 histogram of oriented gradient K1 linear interpolation K1 support vector machine K1 Computing methodologies K1 Applied computing K1 Machine learning K1 Life and medical sciences K1 Learning paradigms K1 Supervised learning SP 1 OP 8 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3596286.3596296 DO https://dl.acm.org/doi/10.1145/3596286.3596296 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)