Background: Although computational models are advancing air quality prediction, achieving
the desired performance or accuracy of prediction remains a gap, which impacts the …

Air quality issues are critical to daily life and public health. However, air quality data are
characterized by complexity and nonlinearity due to multiple factors. Coupled with the …

In recent times, pollution has emerged as a significant global concern, with European
regulations stipulating limits on PM 2.5 particle levels. Addressing this challenge …

High particulate matter (PM) concentrations have a negative impact on the overall quality of
life and health. The annual trends of PM can vary greatly depending on factors such as a …

Time-series forecasting has a wide range of application scenarios. Predicting particulate
matter with a diameter of 2.5 μm or less (PM2. 5) in the future is a vital type of time-series …

Renewable energy plays a vital role in power generation and solar photovoltaic systems
due to resource availability throughout the year. This work aims to investigate the impact of …

For both human health and the environment, air pollution is a serious concern. However, the
available air quality monitoring networks have important limitations, such as the high …

Wuhan experienced a noticeable enhancement in air quality from January to April 2020 due
to the epidemic lockdown. The improvement was a combined result of anthropogenic …

The problem of atmospheric complex pollution led by PM2. 5 and O3 has become an
important factor restricting the improvement of air quality in China. In drawing on …

The paper focuses on the measurement of PM and other meteorological parameters in a
small region of central Europe—eastern Slovakia and northeastern Hungary. Due to the …