Air pollution has become a critical factor affecting the health of human beings. Forecasting
the trend of air pollutants will be of considerable help to public health, including improving …

In order to improve the accuracy of PM2. 5 concentration forecast in Beijing Meteorological
Bureau, a deep learning prediction model based on convolutional neural network (CNN) …

Air pollution is one of the most serious environmental problems faced by human beings, and
it is also a hot topic in the development of sustainable cities. Accurate PM 2.5 prediction …

Accurate air quality prediction is of great significance for pollution prevention and disaster
prevention. Effective and reliable prediction models are needed not only for short time …

Air pollution is a growing problem and poses a challenge to people's healthy lives. Accurate
prediction of air pollutant concentrations is considered the key to air pollution warning and …

The concentration of PM2. 5 is an important index to measure the degree of air pollution.
When it exceeds the standard value, it is considered to cause pollution and lower the air …

Particulate matter (PM) in the air can cause various health problems and diseases in
humans. In particular, the smaller size of PM 2.5 enable them to penetrate deep into the …

Timely and accurate air quality forecasting is of great significance for prevention and
mitigation of air pollution. However, most of the previous forecasting models only considered …

Over the past few decades, air pollution has caused serious damage to public health.
Therefore, making accurate predictions of PM2. 5 is a crucial task. Due to the transportation …

Air pollution has become an environmental threat globally. Therefore, air pollution
estimation and prediction are crucial for effecting timely control measures. This paper …