Estimating visibility and understanding factors influencing its variations at bangkok airport using machine learning and a game theory–based approach

HIGHLIGHTS

  • What: Based on above stated facts and motivation, the objectives of this study are as follows: a) evaluation and comparison of different ML models for visibility prediction, (b) quantification of the effect of meteorology on visibility using ML model-based meteorological normalization, c) understanding of drivers of the visibility degradation using game theory-based XML method i.e, Shapley method.
  • Who: Hygroscopic growth and collaborators from the Chulalongkorn University https://orcidorg/0000-0001-5005, Pollution Control Department, Thailand have published the research: Estimating visibility and understanding factors influencing its variations at Bangkok airport using machine . . .

     

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