1 publication

  • Published Subscription Review Article

    Aerodynamic Optimization of UAV Wings Using Machine Learning

    Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …

    Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article

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