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
Incident congestion propagation prediction using incident r..:
, In:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility
,
Niemann Tygesen, Mathias
;
Sharan, Mayank
;
Pereira, Francisco C.
.. - p. 33-42 , 2023
Link:
https://dl.acm.org/doi/10.1145/3615899.3627934
RT T1 <cTitle>Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility</cTitle>: T1 <Title>Incident congestion propagation prediction using incident reports</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3627934&Exemplar=1&LAN=DE A1 Niemann Tygesen, Mathias A1 Sharan, Mayank A1 Pereira, Francisco C. A1 Rodrigues, Filipe A1 Yu, Rose PB ACM YR 2023 K1 congestion propagation prediction K1 graph neural networks K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 33 OP 42 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3615899.3627934 DO https://dl.acm.org/doi/10.1145/3615899.3627934 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
