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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
2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)
: T1
Deep Learning-Based Prediction of Aerodynamic Performance for Airfoils in Transonic Regime
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
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