Machine learning approach for predicting key design parameters in UAV conceptual design

• Published in: Ain Shams Engineering Journal Vol. 15; no. 9; p. 102932
• Main Authors: Bajwa, Omer Iqbal, Baluch, Haroon Awais, Saeed, Hasan Aftab
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2024; Elsevier
• Subjects: Fixed-wing UAV; Machine learning; Regression techniques; UAV design parameters; UAV design parameters; Regression techniques; Fixed-wing UAV; Machine learning

The initial concept of an Unmanned Aerial Vehicle (UAV) design is complicated and unique due to performance parameters like payload capacity, engine power, endurance, service altitude, etc. required to perform a wide range of missions. Empirical correlations between key design parameters can approxi...