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
Deep Learning-Based Prediction of Aerodynamic Performance f..:
, In:
2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)
,
Ayman, Tarek
;
Elrefaie, Mayar A.
;
Sayed, Eman
... - p. 157-160 , 2023
Link:
https://doi.org/10.1109/NILES59815.2023.10296587
RT T1 <cTitle>2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)</cTitle>: T1 <Title>Deep Learning-Based Prediction of Aerodynamic Performance for Airfoils in Transonic Regime</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10296587&Exemplar=1&LAN=DE A1 Ayman, Tarek A1 Elrefaie, Mayar A. A1 Sayed, Eman A1 Elrefaie, Mohamed A1 Ayyad, Mahmoud A1 Hamada, Ahmed A. A1 Abdelrahman, Mohamed M. YR 2023 K1 Shape K1 Atmospheric modeling K1 Computational modeling K1 Training data K1 Artificial neural networks K1 Predictive models K1 Aerodynamics K1 Software K1 Automotive components K1 Optimization K1 Artificial Neural Network K1 Computational Fluid Dynamics K1 Transonic airfoils K1 Aerodynamic performance K1 Compressible flow K1 OpenFOAM SP 157 OP 160 LK http://dx.doi.org/https://doi.org/10.1109/NILES59815.2023.10296587 DO https://doi.org/10.1109/NILES59815.2023.10296587 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
