Current studies show that traditional deterministic models tend to struggle to capture the non-
linear relationship between the concentration of air pollutants and their sources of emission …

Abstract According to the World Health Organization (WHO), air pollution kills seven million
people every year. Outdoor air pollution is a major environmental health problem affecting …

With the rapid growth in the availability of data and computational technologies, multiple
machine learning frameworks have been proposed for forecasting air pollution. However …

With the increase in population and industrialization, air pollution has become one of the
global problems nowadays. Therefore, air pollutant parameters should be measured at …

Due to the increased use of automobiles, the manufacturing industry, and the emission of
pollutants from other human activities, air pollution has risen above the expected safety …

Modern studies in the field of environment science and engineering show that deterministic
models struggle to capture the relationship between the concentration of atmospheric …

Air pollution has a major impact on human health, especially in cities, and elevated
concentrations of PMx are responsible for a large number of premature deaths each year …

At present, accurate forecast of very-short-term wind speed is still a critical issue, mainly due
to the complex characteristics of wind variations such as intermittence, fluctuation and …

Accurate forecasting of air pollutant concentration is of great importance since it is an
essential part of the early warning system. However, it still remains a challenge due to the …

Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced
information on its concentration in the air can help to monitor and control further …