Pm2. 5 concentration prediction based on cnn-bilstm and attention mechanism
J Zhang, Y Peng, B Ren, T Li - Algorithms, 2021 - mdpi.com
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 …
When it exceeds the standard value, it is considered to cause pollution and lower the air …
A hybrid CNN-LSTM model for forecasting particulate matter (PM2. 5)
T Li, M Hua, XU Wu - Ieee Access, 2020 - ieeexplore.ieee.org
PM2. 5 is one of the most important pollutants related to air quality, and the increase of its
concentration will aggravate the threat to people's health. Therefore, the prediction of …
concentration will aggravate the threat to people's health. Therefore, the prediction of …
Prediction of Multi-Site PM2.5 Concentrations in Beijing Using CNN-Bi LSTM with CBAM
D Li, J Liu, Y Zhao - Atmosphere, 2022 - mdpi.com
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 …
prediction of air pollutant concentrations is considered the key to air pollution warning and …
Forecasting of PM2.5 Concentration in Beijing Using Hybrid Deep Learning Framework Based on Attention Mechanism
D Li, J Liu, Y Zhao - Applied Sciences, 2022 - mdpi.com
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 …
the trend of air pollutants will be of considerable help to public health, including improving …
Urban PM2.5 Concentration Prediction via Attention-Based CNN–LSTM
Urban particulate matter forecasting is regarded as an essential issue for early warning and
control management of air pollution, especially fine particulate matter (PM2. 5). However …
control management of air pollution, especially fine particulate matter (PM2. 5). However …
An optimized hybrid deep learning model for PM2.5 and O3 concentration prediction
J Hu, Y Chen, W Wang, S Zhang, C Cui, W Ding… - Air Quality, Atmosphere …, 2023 - Springer
As people focus more on environmental protection, air quality prediction plays an
increasingly important role in reducing pollution hazards. Both fine particulate matter (PM2 …
increasingly important role in reducing pollution hazards. Both fine particulate matter (PM2 …
[PDF][PDF] PM2. 5 concentration prediction using deep learning in internet of things air monitoring system
W Bai, F Li - Environmental Engineering Research, 2023 - eeer.org
Aiming at the problems of low accuracy and less prediction time step in traditional statistical
model for PM2. 5 concentration prediction, a PM2. 5 concentration prediction method based …
model for PM2. 5 concentration prediction, a PM2. 5 concentration prediction method based …
Application of CNN-LSTM Algorithm for PM2.5 Concentration Forecasting in the Beijing-Tianjin-Hebei Metropolitan Area
Y Su, J Li, L Liu, X Guo, L Huang, M Hu - Atmosphere, 2023 - mdpi.com
Prolonged exposure to high concentrations of suspended particulate matter (SPM),
especially aerodynamic fine particulate matter that is≤ 2.5 μm in diameter (PM2. 5), can …
especially aerodynamic fine particulate matter that is≤ 2.5 μm in diameter (PM2. 5), can …
Forecasting model of short-term PM2. 5 concentration based on deep learning
Z Wenfang, L Runsheng, T Wei… - Journal of Nanjing …, 2019 - njsfdxzrb.paperonce.org
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) …
Bureau, a deep learning prediction model based on convolutional neural network (CNN) …
Prediction of PM2.5 Concentration in Ningxia Hui Autonomous Region Based on PCA-Attention-LSTM
W Ding, Y Zhu - Atmosphere, 2022 - mdpi.com
The problem of air pollution has attracted more and more attention. PM2. 5 is a key factor
affecting air quality. In order to improve the prediction accuracy of PM2. 5 concentration and …
affecting air quality. In order to improve the prediction accuracy of PM2. 5 concentration and …
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