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 …

The use of data-driven techniques such as artificial neural network (ANN) models for
outdoor air pollution forecasting has been popular in the past two decades. However …

The existence of PM 2. 5 poses a substantial threat to both human well-being and
ecosystems. The quantification of PM 2. 5 is a pressing global issue. These little particles …

Many cities have long suffered from the events of fine particulate matter (PM 2.5) pollutions.
The Taiwanese Government has long strived to accurately predict the short-term hourly …

Air quality conditions are now more severe in the Jakarta area that is among the world's top
eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data …

The immediate response to the state disturbances of anaerobic digestion is essential to
prevent anaerobic digestion failure. However, frequent monitoring of the state and …

Abstract Bei**g, Shanghai, Singapore, and London are regions with high population density
and industrial activities. In this sense, accurate prediction of the rate of particulate matter 2.5 …

Air pollution is the one of the most significant environmental risks to health worldwide. An
accurate assessment of population exposure would require a continuous distribution of …

PM2. 5 forecasting technology in metro stations can effectively ensure the safety of people's
travel. In order to effectively solve the non-stationarity of PM2. 5 data and improve the …

In the directions of modern medicine, a new area of processing and analysis of visual data is
actively develo**-a radio municipality-a computer technology that allows you to deeply …