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 …
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) …
Application of wavelet-packet transform driven deep learning method in PM2. 5 concentration prediction: A case study of Qingdao, China
Q Zheng, X Tian, Z Yu, N Jiang, A Elhanashi… - Sustainable Cities and …, 2023 - Elsevier
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 …
it is also a hot topic in the development of sustainable cities. Accurate PM 2.5 prediction …
Deep Learning-Based PM2.5 Long Time-Series Prediction by Fusing Multisource Data—A Case Study of Beijing
M Niu, Y Zhang, Z Ren - Atmosphere, 2023 - mdpi.com
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 …
prevention. Effective and reliable prediction models are needed not only for short time …
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 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 …
PM2.5 Concentration Forecasting Using Weighted Bi-LSTM and Random Forest Feature Importance-Based Feature Selection
B Kim, E Kim, S Jung, M Kim, J Kim, S Kim - Atmosphere, 2023 - mdpi.com
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 …
humans. In particular, the smaller size of PM 2.5 enable them to penetrate deep into the …
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 …
An improved deep learning model for predicting daily PM2. 5 concentration
F Xiao, M Yang, H Fan, G Fan, MAA Al-Qaness - Scientific reports, 2020 - nature.com
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 …
Therefore, making accurate predictions of PM2. 5 is a crucial task. Due to the transportation …
An Ensemble Deep Learning Model for Forecasting Hourly PM2.5 Concentrations
Air pollution has become an environmental threat globally. Therefore, air pollution
estimation and prediction are crucial for effecting timely control measures. This paper …
estimation and prediction are crucial for effecting timely control measures. This paper …
相关搜索
- forecasting of pm2 concentration in beijing
- forecasting of pm2 attention mechanism
- attention mechanism concentration in beijing
- deep learning forecast time
- attention mechanism cnn bilstm
- forest feature concentration forecasting
- attention mechanism concentration prediction
- feature selection concentration forecasting