CSTCN: A Novel Causal-Based Framework for Air Quality Medium- and Long-term Prediction
Author:
Affiliation:
1. Nanjing University of Chinese Medicine,Department of Artificial Intelligence and Information Technology,China
2. Nanjing Institute of Software Technology,China
3. Institute of Software, Chinese Academy of Sciences,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10356387/10356231/10356565.pdf?arnumber=10356565
Reference28 articles.
1. Ambient Fine Particulate Matter and Cancer: Current Evidence and Future Perspectives
2. Deciphering urban traffic impacts on air quality by deep learning and emission inventory
3. Advances in air quality research – current and emerging challenges
4. Elucidation of spatial disparities of factors that affect air pollutant concentrations in industrial regions at a continental level
5. An integrated 3D CNN-GRU deep learning method for short-term prediction of PM2.5 concentration in urban environment
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