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
An Attention-based Approach for Traffic Conditions Forecast..:
, In:
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)
,
Tao, Lu
;
Gu, Yuanli
;
Lu, Wenqi
... - p. 117-122 , 2020
Link:
https://doi.org/10.1109/ICITE50838.2020.9231367
RT T1 <cTitle>2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)</cTitle>: T1 <Title>An Attention-based Approach for Traffic Conditions Forecasting Considering Spatial-Temporal Features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9231367&Exemplar=1&LAN=DE A1 Tao, Lu A1 Gu, Yuanli A1 Lu, Wenqi A1 Rui, Xiaoping A1 Zhou, Tian A1 Ding, Ying YR 2020 K1 Traffic conditions forecasting K1 spatial-temporal features K1 hybrid model K1 graph convolutional network K1 attention mechanism SP 117 OP 122 LK http://dx.doi.org/https://doi.org/10.1109/ICITE50838.2020.9231367 DO https://doi.org/10.1109/ICITE50838.2020.9231367 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
