Innovative Approach to Flapping Flight Analysis Published in Physica D
Dr Lan and Dr Lai’s latest study, ‘Accelerating Flapping Flight Analysis: Reducing CFD Dependency with a Hybrid Decision Tree Approach for Swift Velocity Predictions’, has been published in Physica D: Nonlinear Phenomena. The research introduces a novel framework combining signal decomposition and decision tree algorithms, reducing computational time by up to 75% while maintaining high accuracy. Validated with damselfly data, this approach accelerates flapping flight analysis and supports the efficient design of micro air vehicles (MAVs), offering a scalable solution for future aerodynamic research.
For more information please refer to https://doi.org/10.1016/j.physd.2025.134618.
