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
Artificial Intelligence based Performance Models to Support..:
, In:
2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
,
William, P.
;
Yadav, M. Geeta
;
Lakhanpal, Sorabh
... - p. 223-229 , 2023
Link:
https://doi.org/10.1109/ICAISS58487.2023.10250561
RT T1 <cTitle>2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)</cTitle>: T1 <Title>Artificial Intelligence based Performance Models to Support Hydrologic Rainfall Conditions using Ensembling Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10250561&Exemplar=1&LAN=DE A1 William, P. A1 Yadav, M. Geeta A1 Lakhanpal, Sorabh A1 Shrivastava, Anurag A1 Rawat, Kishan Singh A1 Chaudhary, Swati YR 2023 K1 Performance evaluation K1 Precipitation K1 Vegetation K1 Conductivity K1 Soil K1 Stormwater K1 Artificial intelligence K1 Hydrologic Performance K1 retention ratio K1 SWMM simulation K1 low-impact design SP 223 OP 229 LK http://dx.doi.org/https://doi.org/10.1109/ICAISS58487.2023.10250561 DO https://doi.org/10.1109/ICAISS58487.2023.10250561 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
