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 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 …

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) …

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 …

During the last many years, the air quality of the capital city of India, Delhi had been
hazardous. A large number of people have been diagnosed with Asthma and other …

This study investigates and proposes a reduction in the number of water quality monitoring
stations, parameters and develops the best input combination for water quality modelling …

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 …

The present study is conducted on Mahanadi River, which is considered as the lifeline for
the state of Odisha. There is a persistent outcry of the people in upstream reaches of the …