Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine
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Published:2023-11
Issue:
Volume:147
Page:110723
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ISSN:1568-4946
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Container-title:Applied Soft Computing
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language:en
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Short-container-title:Applied Soft Computing
Author:
Asaei-Moamam Zahra-Sadat,
Safi-Esfahani FaramrazORCID,
Mirjalili Seyedali,
Mohammadpour Reza,
Nadimi-Shahraki Mohamad-Hosein
Reference68 articles.
1. Y. Qin, Y. Yin, Z. Wu, L. Shi, An observational study of atmospheric aerosol in the Shijiazhuang area, in: 2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010, 2, 2010, pp. 328–331, http://dx.doi.org/10.1109/IITA-GRS.2010.5604099.
2. M. Nakata, I. Sano, S. Mukai, Relation between aerosol characteristics and impact factor on climate and environment, in: International Geoscience and Remote Sensing Symposium (IGARSS), 2015-November, 2015, pp. 2342–2345, http://dx.doi.org/10.1109/IGARSS.2015.7326278.
3. Daily air quality index forecasting with hybrid models: A case in China;Zhu;Environ. Pollut.,2017
4. Distributed attack detection scheme using deep learning approach for internet of things;Diro;Future Gener. Comput. Syst.,2018
5. Deep-dust: Predicting concentrations of fine dust in seoul using LSTM;Kim,2019
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