| contributor author | Tekin, Abdurrahman | |
| contributor author | Xiao, Tianhang | |
| contributor author | Yu, Xiongqing | |
| date accessioned | 2026-08-20T21:13:37Z | |
| date available | 2026-08-20T21:13:37Z | |
| date copyright | 2025/09/18 | |
| date issued | 2026 | |
| identifier other | JAEEEZ.ASENG-6258.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314145 | |
| description abstract | AbstractAirfoil optimization is crucial for enhancing aerodynamic performance and efficiency
in aerospace engineering because accurate and rapid predictions of the lift-to-drag
ratio (CL/CD) directly influence design decisions. However, traditional methods are ... | |
| publisher | American Society of Civil Engineers | |
| title | Rapid Lift-to-Drag Ratio Prediction for NACA Four-Digit Airfoils Using a Deep Neural Network | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 1 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/JAEEEZ.ASENG-6258 | |
| journal fristpage | 04025106-1 | |
| journal lastpage | 04025106-12 | |
| page | 12 | |
| tree | Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001 | |
| contenttype | Fulltext | |