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
Big Data Based Intelligent Operation and Maintenance Platfo..:
, In:
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)
,
Zhang, Guolin
;
Lin, Jing
;
Zhang, Ying
... - p. 249-253 , 2020
Link:
https://doi.org/10.1109/ICITE50838.2020.9231488
RT T1
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)
: T1
Big Data Based Intelligent Operation and Maintenance Platform
UL https://suche.suub.uni-bremen.de/peid=ieee-9231488&Exemplar=1&LAN=DE A1 Zhang, Guolin A1 Lin, Jing A1 Zhang, Ying A1 Xue, Kechong A1 Nan, Jielong A1 Li, Bo YR 2020 K1 big data K1 intelligent operation and maintenance K1 urban rail transit component SP 249 OP 253 LK http://dx.doi.org/https://doi.org/10.1109/ICITE50838.2020.9231488 DO https://doi.org/10.1109/ICITE50838.2020.9231488 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)