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
A Fractal-Cluster-Based Analytical Model for Spatial Patter..:
, In:
2020 Annual Reliability and Maintainability Symposium (RAMS)
,
Zheng, Xiang-Yu
;
Huang, Ning
;
Bai, Ya-Nan
. - p. 1-7 , 2020
Link:
https://doi.org/10.1109/RAMS48030.2020.9153714
RT T1
2020 Annual Reliability and Maintainability Symposium (RAMS)
: T1
A Fractal-Cluster-Based Analytical Model for Spatial Pattern of Congestion
UL https://suche.suub.uni-bremen.de/peid=ieee-9153714&Exemplar=1&LAN=DE A1 Zheng, Xiang-Yu A1 Huang, Ning A1 Bai, Ya-Nan A1 Zhang, Shuo YR 2020 SN 2577-0993 K1 Fractals K1 Roads K1 Analytical models K1 Load modeling K1 Weight measurement K1 Resilience K1 Games K1 spatial pattern K1 fractal-cluster K1 fractal dimension K1 congestion SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/RAMS48030.2020.9153714 DO https://doi.org/10.1109/RAMS48030.2020.9153714 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)