Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations

Low-level wind shear (LLWS) is a rare occurrence and yet poses a major hazard to the safety of aircraft. LLWS event occurrence within 800 feet of the runway level are dangerous to approaching and departing aircraft and must be accurately predicted. In this study, first the Bayesian Optimization–Ense...

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Autores principales:	Afaq Khattak, Pak-Wai Chan, Feng Chen, Haorong Peng
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-12-01
Colección:	Atmosphere
Materias:	low-level wind shear ensemble learning classifiers Bayesian optimization SHapley Additive exPlanations
Acceso en línea:	https://www.mdpi.com/2073-4433/13/12/2102
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