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
Interpretable causal-based temporal graph convolutional net..:
Shen, Bin
;
Yang, Shenglai
;
Hu, Jiangtao
...
Energy. 309 (2024) - p. 133129 , 2024
Link:
https://doi.org/10.1016/j.energy.2024.133129
RT Journal T1 <Title>Interpretable causal-based temporal graph convolutional network framework in complex spatio-temporal systems for CCUS-EOR</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.energy.2024.133129&Exemplar=1&LAN=DE A1 Shen, Bin A1 Yang, Shenglai A1 Hu, Jiangtao A1 Zhang, Yiqi A1 Zhang, Lingfeng A1 Ye, Shanlin A1 Yang, Zhengze A1 Yu, Jiayi A1 Gao, Xinyuan A1 Zhao, Ermeng PB Elsevier BV YR 2024 SN 0360-5442 JF Energy VO 309 SP 133129 LK http://dx.doi.org/https://doi.org/10.1016/j.energy.2024.133129 DO https://doi.org/10.1016/j.energy.2024.133129 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
