Atıf Formatları
Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

S. Arslan And K. Koca, "Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade," ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123, pp.1-15, 2023

Arslan, S. And Koca, K. 2023. Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123 , 1-15.

Arslan, S., & Koca, K., (2023). Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123, 1-15.

Arslan, SİBEL, And Kemal Koca. "Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade," ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123, 1-15, 2023

Arslan, SİBEL And Koca, Kemal. "Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade." ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123, pp.1-15, 2023

Arslan, S. And Koca, K. (2023) . "Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade." ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123, pp.1-15.

@article{article, author={SİBEL ARSLAN And author={Kemal Koca}, title={Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade}, journal={ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE}, year=2023, pages={1-15} }