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
Analysis of spatial-temporal variability and heterogeneity ..:
, In:
International Conference on Computing, Machine Learning and Data Science
,
Zhou, Nan
;
Hong, Jin
;
Cui, Wenyu
... - p. 1-11 , 2024
Link:
https://dl.acm.org/doi/10.1145/3661725.3661732
RT T1 <cTitle>International Conference on Computing, Machine Learning and Data Science</cTitle>: T1 <Title>Analysis of spatial-temporal variability and heterogeneity of soil moisture</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3661732&Exemplar=1&LAN=DE A1 Zhou, Nan A1 Hong, Jin A1 Cui, Wenyu A1 Wu, Shichao A1 Wang, Yuyao A1 Kou, Xifeng PB ACM YR 2024 K1 Correlation analysis K1 Heterogeneity analysis K1 Relative humidity K1 Soil moisture K1 Spatial and temporal variation SP 1 OP 11 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3661725.3661732 DO https://dl.acm.org/doi/10.1145/3661725.3661732 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
