The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …

Numerous epidemiological studies have shown that particulate matter with aerodynamic
diameter up to 2.5 μm (PM2. 5) is associated with many health consequences, where PM2. 5 …

Fine particulate matter (PM2. 5) is a major pollutant in Guanzhong Urban Agglomeration
(GUA) during the winter, and GUA is one of China's regions with the highest concentrations …

There is a paucity of air quality data in sub-Saharan African countries to inform science
driven air quality management and epidemiological studies. We investigated the use of …

With increasing levels of air pollution, air quality prediction has attracted more attention.
Mathematical models are being developed by researchers to achieve precise predictions …

Abstract Fine airborne particles (diameter< 2.5 μm; PM 2.5) are recognized as a major threat
to human health due to their physicochemical properties: composition, size, shape, etc …

Reliable measures of nighttime atmospheric fine particulate matter (PM2. 5) concentrations
are essential for monitoring their continuous diurnal variation. Here, we proposed a night …

Air pollution is the fourth leading global risk factor, whereas in India air pollution is reported
as the highest risk factor with millions of premature deaths every year. Despite …

As wildfires increasingly impact the global economy and public health, understanding their
effects is crucial. Particularly, the relationship between wildfires and anxiety disorders …

Globally, air pollution is amongst the most significant causes of premature death.
Nevertheless, studies on the relationship between fine particulate matter (PM2. 5) exposure …