A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation
Long-term exposure to air environments full of suspended particles, especially PM2. 5,
would seriously damage people's health and life (ie, respiratory diseases and lung cancers) …
would seriously damage people's health and life (ie, respiratory diseases and lung cancers) …
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 …
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 …
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 …
Deep learning-based PM2. 5 prediction considering the spatiotemporal correlations: A case study of Beijing, China
U Pak, J Ma, U Ryu, K Ryom, U Juhyok, K Pak… - Science of the Total …, 2020 - Elsevier
Air pollution is one of the serious environmental problems that humankind faces and also a
hot topic in Northeastern Asia. Therefore, the accurate prediction of PM2. 5 (particulate …
hot topic in Northeastern Asia. Therefore, the accurate prediction of PM2. 5 (particulate …
Research on PM2. 5 concentration prediction based on the CE-AGA-LSTM model
X Wu, C Zhang, J Zhu, X Zhang - Applied Sciences, 2022 - mdpi.com
The PM2. 5 index is an important basis for measuring the degree of air pollution. The
accurate prediction of PM2. 5 concentration has an important guiding role in air pollution …
accurate prediction of PM2. 5 concentration has an important guiding role in air pollution …
Deep learning coupled model based on TCN-LSTM for particulate matter concentration prediction
Y Ren, S Wang, B Xia - Atmospheric Pollution Research, 2023 - Elsevier
In this study, we combined the Temporal Convolutional Network (TCN) model with the Long
Short-Term Memory (LSTM) network model and applied it to prediction of atmospheric …
Short-Term Memory (LSTM) network model and applied it to prediction of atmospheric …
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 …
Deep learning methods for atmospheric PM2. 5 prediction: A comparative study of transformer and CNN-LSTM-attention
B Cui, M Liu, S Li, Z Jin, Y Zeng, X Lin - Atmospheric Pollution Research, 2023 - Elsevier
A transformer-based method was firstly developed to predict the hourly PM 2.5 concentration
at 12 monitoring stations in Beijing. Convolutional neural network-long short-term memory …
at 12 monitoring stations in Beijing. Convolutional neural network-long short-term memory …
Prediction of PM2. 5 concentration in urban agglomeration of China by hybrid network model
S Wu, H Li - Journal of Cleaner Production, 2022 - Elsevier
The urban agglomeration area is a heavy disaster area of PM2. 5 pollution, and the problem
of PM2. 5 pollution seriously affects the natural environment and public health. Accurate …
of PM2. 5 pollution seriously affects the natural environment and public health. Accurate …