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Fourier-enhanced sequence-to-sequence latent graph neural networks for multi-node spatiotemporal forecasting in a hydroelectric reservoir.

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Title: Fourier-enhanced sequence-to-sequence latent graph neural networks for multi-node spatiotemporal forecasting in a hydroelectric reservoir.
Authors: Seman, Laio Oriel1, laio@gos.ufsc.br, Stefenon, Stefano Frizzo2,3, stefano.stefenon@isel.pt, Yow, Kin-Choong2, kin-choong.yow@uregina.ca, Coelho, Leandro dos Santos4,5, leandro.coelho@ufpr.br, Mariani, Viviana Cocco4,6, viviana.mariani@ufpr.br
Source: Engineering Applications of Artificial Intelligence; Mar2026:Part 3, Vol. 167, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191351569
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Fourier-enhanced sequence-to-sequence latent graph neural networks for multi-node spatiotemporal forecasting in a hydroelectric reservoir.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191351569
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.engappai.2026.113939
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Fourier-enhanced sequence-to-sequence latent graph neural networks for multi-node spatiotemporal forecasting in a hydroelectric reservoir.
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      – PersonEntity:
          Name:
            NameFull: Seman, Laio Oriel
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            NameFull: Stefenon, Stefano Frizzo
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            NameFull: Yow, Kin-Choong
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            NameFull: Coelho, Leandro dos Santos
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            NameFull: Mariani, Viviana Cocco
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          Dates:
            – D: 03
              M: 03
              Text: Mar2026:Part 3
              Type: published
              Y: 2026
          Identifiers:
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              Value: 09521976
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              Value: 167
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            – TitleFull: Engineering Applications of Artificial Intelligence
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