Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …

Air pollution in the environment is growing daily as a result of urbanization and population
growth, which causes numerous health issues. Information about air quality and …

Predicting air quality is a complex task due to the dynamic nature, volatility, and high
variability in time and space of pollutants and particulates. At the same time, being able to …

In this study, copper (Cu), iron (Fe), zinc (Zn), manganese (Mn), nickel (Ni), and lead (Pb)
analyses were performed, and the results were modelled by artificial neural networks (ANN) …

Addressing the constraints inherent in traditional primary Air Quality Index (AQI) forecasting
models and the shortcomings in the exploitation of meteorological data, this research …

Air pollution is strongly tied to climate change. Industrialization and fossil fuel combustion
are the main contributors leading to climate change, also being significant sources of air …

The reliability of risk assessment is crucial for designing effective construction safety
management strategies. Construction safety prediction using machine learning models is …

With the development of the economy and society all over the world, most metropolitan cities
are experiencing elevated concentrations of ground-level air pollutants. It is urgent to predict …

Presence of particulate matters with aerodynamic diameter of less than 2.5 μm (PM 2.5) in
the atmosphere is fast increasing in Malaysia due to industrialization and urbanization …

Research on water quality is a fundamental step in supporting the maintenance of
environmental and human health. The elements involved in water quality analysis are …