Precise and efficient ozone (O 3) concentration prediction is crucial for weather monitoring
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …

Despite the recognition of the importance of air pollution in Morocco, current scientific
studies are predominantly descriptive and limited. This systematic review aims to provide a …

To optimize the accuracy of ozone (O3) concentration prediction, this paper proposes a
combined prediction model of O3 hourly concentration, FC-LsOA-KELM, which integrates …

Ozone pollution has been growing in the recent decade, becoming a critical urban
environmental issue in China. However, Shenyang's near-surface ozone concentration …

Ozone is a major air pollutant that can cause respiratory problems and other health risks. It is
formed when pollutants from cars, power plants, and other sources react in the presence of …

In order to improve the prediction accuracy of gas emission in the mining face, a method
combining least absolute value convergence and selection operator (LASSO), whale …

Surface ozone is usually measured in national networks, including the monitoring of
gaseous components important for determining air quality and the short-term forecast of …

We test three methods for ozone prediction in the El Paso (ELP) and Houston-Galveston-
Brazoria (HGB) regions of Texas from 2005–2019:(1) a Generalized Additive Model (GAMs) …

This paper proposes a spatial k-nearest neighbor method for nonparametric prediction of
real-valued spatial data and supervised classification for categorical spatial data. The …

It is well known that air pollution has become a significant global environmental problem
causing numerous chronic diseases to humans. Many countries worldwide, including …