Accurately predicting the concentration of fine particulate matter (PM 2.5) is crucial for
evaluating air pollution levels and public exposure. Recent advancements have seen a …

Accurate and reliable prediction of air pollutant concentrations is important for rational
avoidance of air pollution events and government policy responses. However, due to the …

Several cities in the developing world, of which the capital city of India, New Delhi, is an
example, often experience air quality in which pollutant levels go way above the levels …

PM 2.5 constitutes a complex and diverse mixture that significantly impacts the environment,
human health, and climate change. However, existing observation and numerical simulation …

The accurate prediction of PM2. 5 concentration, a matter of paramount importance in
environmental science and public health, has remained a substantial challenge …

The application of identification techniques using artificial intelligence to the gas turbine
(GT), whose nonlinear dynamic behavior is difficult to describe through differential equations …

The reported work aims to improve the performance of LSTM-based (Long Short-Term
Memory) forecasting algorithms in cases of NARX (Nonlinear Autoregressive with …

The problem of dust pollution in the open-pit coal mine significantly impacts the health of
staff, the regular operation of mining work, and the surrounding environment. At the same …

Nowadays, most of the world's population lives in urban centres, where air quality levels are
not strictly checked; citizens are exposed to air quality levels over the limits of the World …

Predicting air pollution in cities has become an important tool for preventing its negative
impacts. Therefore, citizens should be aware of air quality level, especially for individuals …