Dynamic mode decomposition and short-time prediction of PM2.5 using the graph Neural Koopman network.

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Title: Dynamic mode decomposition and short-time prediction of PM2.5 using the graph Neural Koopman network.
Authors: Yu, Yuhan1,2, Zhou, Hongye1,3, Huang, Bo4, Zhang, Feng1,2, zfcarnation@zju.edu.cn, Wang, Bin1,2
Source: International Journal of Geographical Information Science; Feb2025, Vol. 39 Issue 2, p277-300, 24p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 182326686
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  Data: Dynamic mode decomposition and short-time prediction of PM2.5 using the graph Neural Koopman network.
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  Data: <searchLink fieldCode="AU" term="%22Yu%2C+Yuhan%22">Yu, Yuhan</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Hongye%22">Zhou, Hongye</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Bo%22">Huang, Bo</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Feng%22">Zhang, Feng</searchLink><relatesTo>1,2</relatesTo>, <i>zfcarnation@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Bin%22">Wang, Bin</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Feb2025, Vol. 39 Issue 2, p277-300, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182326686
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/13658816.2024.2408749
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
        StartPage: 277
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      – TitleFull: Dynamic mode decomposition and short-time prediction of PM2.5 using the graph Neural Koopman network.
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            NameFull: Yu, Yuhan
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            NameFull: Zhou, Hongye
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            NameFull: Huang, Bo
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            NameFull: Zhang, Feng
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            – D: 01
              M: 02
              Text: Feb2025
              Type: published
              Y: 2025
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              Value: 39
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