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
Deeppipe: an unsupervised model for abnormal condition dete..:
, In:
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
,
Wang, Chang
;
Zheng, Jianqing
;
Liao, Qi
.. - p. 163-168 , 2022
Link:
https://doi.org/10.1109/YAC57282.2022.10023584
RT T1 <cTitle>2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)</cTitle>: T1 <Title>Deeppipe: an unsupervised model for abnormal condition detection of multi-product pipelines</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10023584&Exemplar=1&LAN=DE A1 Wang, Chang A1 Zheng, Jianqing A1 Liao, Qi A1 Zhu, Zhu A1 Liang, Yongtu YR 2022 K1 Schedules K1 Pipelines K1 Transportation K1 Safety management K1 Manuals K1 Data models K1 Reliability K1 anomaly detection K1 pipeline K1 unsupervised model K1 condition recognition SP 163 OP 168 LK http://dx.doi.org/https://doi.org/10.1109/YAC57282.2022.10023584 DO https://doi.org/10.1109/YAC57282.2022.10023584 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
