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 …
A deep belief network combined with modified grey wolf optimization algorithm for PM2. 5 concentration prediction
Y Xing, J Yue, C Chen, Y Xiang, Y Chen, M Shi - Applied Sciences, 2019 - mdpi.com
Accurate PM2. 5 concentration prediction is crucial for protecting public health and
improving air quality. As a popular deep learning model, deep belief network (DBN) for PM2 …
improving air quality. As a popular deep learning model, deep belief network (DBN) for PM2 …
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 …
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 …
PM2. 5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time
J Yang, R Yan, M Nong, J Liao, F Li, W Sun - Atmospheric Pollution …, 2021 - Elsevier
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 …
mitigation of air pollution. However, most of the previous forecasting models only considered …
A hybrid deep learning model with multi-source data for PM2.5 concentration forecast
Air quality forecast is an important technical means to ensure timely and proper response to
heavy pollution weather. In this study, a hybrid deep air quality predictor (HDAQP) model …
heavy pollution weather. In this study, a hybrid deep air quality predictor (HDAQP) model …
An Improved Attention-Based Integrated Deep Neural Network for PM2.5 Concentration Prediction
P Shi, X Fang, J Ni, J Zhu - Applied Sciences, 2021 - mdpi.com
The air quality prediction is a very important and challenging task, especially PM 2.5
(particles with diameter less than 2.5 μm) concentration prediction. To improve the accuracy …
(particles with diameter less than 2.5 μm) concentration prediction. To improve the accuracy …
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 …
Modeling air quality prediction using a deep learning approach: Method optimization and evaluation
W Mao, W Wang, L Jiao, S Zhao, A Liu - Sustainable Cities and Society, 2021 - Elsevier
Air pollution is one of the hot issues that attracted widespread attention from urban and
society management. Air quality prediction is to issue an alarm when severe pollution …
society management. Air quality prediction is to issue an alarm when severe pollution …
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 …