Prediction of PM2.5 Concentration Based on CNNLSTM Deep Learning Model-Reference-Cited by-同舟云学术

Prediction of PM2.5 Concentration Based on CNNLSTM Deep Learning Model

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)
language:
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Author:

Xie Yuxuan¹,Chen Xinxin²,Zhang Lejun³

Affiliation:

1. Hunan Agricultural University,Changsha,China

2. Zhejiang University Of Technology,Hangzhou,China

3. Shanghai Normal University,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10158062/10158065/10158199.pdf?arnumber=10158199

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4. A comprehensive evaluation of air pollution prediction improvement by a machine learning method[C];xi;IEEE International Conference on Service Operations and Logistics and Information,2016

5. Spatial characteristics and influencing factors of risk perception of haze in China: The case study of publishing online comments about haze news on Sina

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