Application of TCN-biGRU neural network in concentration prediction
T Shi, P Li, W Yang, A Qi, J Qiao - Environmental Science and Pollution …, 2023 - Springer
Abstract Fine particulate matter (PM 2.5) poses a significant threat to human life and health,
and therefore, accurately predicting PM 2.5 concentration is critical for controlling air …
and therefore, accurately predicting PM 2.5 concentration is critical for controlling air …
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 …
A hybrid CNN-LSTM model for predicting PM2. 5 in Beijing based on spatiotemporal correlation
D Chen, G Wang, Z Xinyue, Q Liu… - … and Ecological Statistics, 2021 - search.proquest.com
Long-term exposure to air environments full of suspended particles, especially PM 2.5,
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) …
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 …
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) …
Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5
Abstract Fine particulate matter (PM 2.5) has a considerable impact on human health, the
environment and climate change. It is estimated that with better predictions, US $9 billion …
environment and climate change. It is estimated that with better predictions, US $9 billion …
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 …
The application of strategy based on LSTM for the short-term prediction of PM2. 5 in city
MD Lin, PY Liu, CW Huang, YH Lin - Science of The Total Environment, 2024 - Elsevier
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 …
The Taiwanese Government has long strived to accurately predict the short-term hourly …
Prediction of PM2. 5 concentration based on the weighted RF-LSTM model
W Ding, H Sun - Earth Science Informatics, 2023 - Springer
Accurate prediction of PM2. 5 concentrations can provide a solid foundation for preventing
and controlling air pollution. When the Long Short-Term Memory (LSTM) is applied to predict …
and controlling air pollution. When the Long Short-Term Memory (LSTM) is applied to predict …
PM2. 5 concentration modeling and prediction by using temperature-based deep belief network
H Xing, G Wang, C Liu, M Suo - Neural Networks, 2021 - Elsevier
Air quality prediction is a global hot issue, and PM 2.5 is an important factor affecting air
quality. Due to complicated causes of formation, PM 2.5 prediction is a thorny and …
quality. Due to complicated causes of formation, PM 2.5 prediction is a thorny and …