A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance

Volume: 322, Pages: 129072 - 129072
Published: Nov 1, 2021
Abstract
Accurate air quality forecasting is critical for systematic pollution control as well as public health and wellness. Most of the traditional forecasting techniques have shown inconsistent predictive accuracy due to the non-linear, dynamic and complex nature of air pollutants. In the past few years, artificial intelligence (AI)-based methods have become the most powerful and forward-looking approaches for air pollution forecasting because of...
Paper Details
Title
A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Published Date
Nov 1, 2021
Volume
322
Pages
129072 - 129072
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