PM10 prediction has attracted special legislative and scientific attention due to its harmful
effects on human health. Statistical techniques have the potential for high-accuracy PM10 …

Air, an essential natural resource, has been compromised in terms of quality by economic
activities. Considerable research has been devoted to predicting instances of poor air …

In the Caribbean basin, particulate matter lower or equal to 10 μm in diameter (PM 10) has a
huge impact on human mortality and morbidity due to the African dust. For the first time in …

The prediction and study of air pollution is a complex process due to the presence of
controlling factors, different land use, and different sources for the elaboration of pollution. In …

Previous studies indicate that the main cause of air quality deterioration is the concentration
of particulate matter up to 10 µm in size (PM10). So far, however, there has been little …

Machine learning techniques (MLTs) offer great power in analyzing complex data sets and
have not previously been applied to non-occupational pollutant exposure. MLT models that …

PM 10 particles impose significant risks to human health and the well-being of individuals in
general. However, due to the complexity of the inner-correlations between influencing …

The accurate predictions of ground ozone concentrations are required for proper
management, control, and making public warning strategies. Due to the difficulties in …

Air pollution is a major environmental issue and machine learning techniques play an
important role in analyzing and forecasting these data sets. Air quality is an outcome of the …

Forecasting air pollutant trends especially in metropolitan cities of India, has become a vital
issue as air pollution has immediate and severe impacts on human health. Criteria …