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
Short-term Traffic Flow Prediction Based on Multi-machine L..:
, In:
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)
,
Liu, Mingsheng
- p. 289-292 , 2022
Link:
https://doi.org/10.1109/AEMCSE55572.2022.00065
RT T1 <cTitle>2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)</cTitle>: T1 <Title>Short-term Traffic Flow Prediction Based on Multi-machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9948350&Exemplar=1&LAN=DE A1 Liu, Mingsheng YR 2022 K1 Training K1 Machine learning algorithms K1 Correlation K1 Roads K1 Time series analysis K1 Clustering algorithms K1 Machine learning K1 urban traffic K1 traffic flow K1 machine learning K1 time series SP 289 OP 292 LK http://dx.doi.org/https://doi.org/10.1109/AEMCSE55572.2022.00065 DO https://doi.org/10.1109/AEMCSE55572.2022.00065 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
