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
Few-Shot Gearbox Fault Diagnosis Based on Semi-Supervised P..:
, In:
2023 China Automation Congress (CAC)
,
Cheng, Shulie
;
Liang, Yingjie
;
Ping, Zuowei
... - p. 2185-2190 , 2023
Link:
https://doi.org/10.1109/CAC59555.2023.10450184
RT T1
2023 China Automation Congress (CAC)
: T1
Few-Shot Gearbox Fault Diagnosis Based on Semi-Supervised Prototypical Network and Contrastive Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10450184&Exemplar=1&LAN=DE A1 Cheng, Shulie A1 Liang, Yingjie A1 Ping, Zuowei A1 Liao, Xuechao A1 Wang, Maolin A1 Zhang, Yong YR 2023 SN 2688-0938 K1 Fault diagnosis K1 Training K1 Refining K1 Prototypes K1 Self-supervised learning K1 Interference K1 Semisupervised learning K1 Fault Diagnosis K1 Prototype Network K1 Semi-supervised Learning K1 Contrastive Learning SP 2185 OP 2190 LK http://dx.doi.org/https://doi.org/10.1109/CAC59555.2023.10450184 DO https://doi.org/10.1109/CAC59555.2023.10450184 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)