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
Fine-Grained Pavement Performance Prediction Based on Causa..:
Cai, Wenyuan
;
Song, Andi
;
Du, Yuchuan
...
IEEE Transactions on Intelligent Transportation Systems. 25 (2024) 5 - p. 4606-4619 , 2024
Link:
https://doi.org/10.1109/tits.2023.3328052
RT Journal T1 <Title>Fine-Grained Pavement Performance Prediction Based on Causal-Temporal Graph Convolution Networks</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tits.2023.3328052&Exemplar=1&LAN=DE A1 Cai, Wenyuan A1 Song, Andi A1 Du, Yuchuan A1 Liu, Chenglong A1 Wu, Difei A1 Li, Feng PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 1524-9050 SN 1558-0016 JF IEEE Transactions on Intelligent Transportation Systems VO 25 IS 5 SP 4606 OP 4619 LK http://dx.doi.org/https://doi.org/10.1109/tits.2023.3328052 DO https://doi.org/10.1109/tits.2023.3328052 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
