Early warning of low visibility using the ensembling of machine learning approaches for aviation services at Jay Prakash Narayan International (JPNI) Airport Patna

Abstract

Article Highlights If low visibility can be predicted with a high level of accuracy, airports could run more efficiently. Proposed ensemble ML approach optimize bagging, boosting, and stacking algorithms to reliably predict low visibility. It fills the gap in predicting low visibility in the Indo-Gangetic Plain (IGP), where fog is a perennial issue in winter.

Keywords

• Low visibility events
• Ensemble machine learning
• Aviation services
• Classification