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
TSFN: an Effective Time Series Anomaly Detection Approach v..:
, In:
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Wu, Hongwei
;
Yang, Rong
;
Qing, Huang
... - p. 1396-1401 , 2023
Link:
https://doi.org/10.1109/CSCWD57460.2023.10152838
RT T1
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
: T1
TSFN: an Effective Time Series Anomaly Detection Approach via Transformer-based Self-feedback Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10152838&Exemplar=1&LAN=DE A1 Wu, Hongwei A1 Yang, Rong A1 Qing, Huang A1 Liu, Kedong A1 Jiang, Zhuojun A1 Li, Yangxi A1 Zhang, Hong YR 2023 SN 2768-1904 K1 Training K1 Time series analysis K1 Power system stability K1 Transformers K1 Stability analysis K1 Real-time systems K1 Power grids K1 anomaly detection K1 multivariate time series K1 transformer K1 self-feedback K1 unsupervised learning SP 1396 OP 1401 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD57460.2023.10152838 DO https://doi.org/10.1109/CSCWD57460.2023.10152838 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)