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
Multi-module-based CVAE to predict HVCM faults in the SNS a..:
Alanazi, Yasir
;
Schram, Malachi
;
Rajput, Kishansingh
...
Machine Learning with Applications. 13 (2023) - p. 100484 , 2023
Link:
https://doi.org/10.1016/j.mlwa.2023.100484
RT Journal T1
Multi-module-based CVAE to predict HVCM faults in the SNS accelerator
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.mlwa.2023.100484&Exemplar=1&LAN=DE A1 Alanazi, Yasir A1 Schram, Malachi A1 Rajput, Kishansingh A1 Goldenberg, Steven A1 Vidyaratne, Lasitha A1 Pappas, Chris A1 Radaideh, Majdi I. A1 Lu, Dan A1 Ramuhalli, Pradeep A1 Cousineau, Sarah PB Elsevier BV YR 2023 SN 2666-8270 JF Machine Learning with Applications VO 13 SP 100484 LK http://dx.doi.org/https://doi.org/10.1016/j.mlwa.2023.100484 DO https://doi.org/10.1016/j.mlwa.2023.100484 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)