Hierarchical fractal reservoirs: Unsupervised multiscale symbolic graphs for long-horizon prediction of chaotic flows.

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Title: Hierarchical fractal reservoirs: Unsupervised multiscale symbolic graphs for long-horizon prediction of chaotic flows.
Authors: Singh, Pradeep1, pradeep.cs@sric.iitr.ac.in, Agrawal, Shradhdha2, agrawal_ss@mfs.iitr.ac.in, Dahale, Shreyas Rajesh3, shreyas_rd@ph.iitr.ac.in, Ghosh, Sutirtha1, s_ghosh@cs.iitr.ac.in, Raman, Balasubramanian1, bala@cs.iitr.ac.in
Source: Neurocomputing; Jul2026, Vol. 684, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193288266
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Hierarchical fractal reservoirs: Unsupervised multiscale symbolic graphs for long-horizon prediction of chaotic flows.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193288266
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2026.133603
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Hierarchical fractal reservoirs: Unsupervised multiscale symbolic graphs for long-horizon prediction of chaotic flows.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Singh, Pradeep
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            NameFull: Agrawal, Shradhdha
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            NameFull: Dahale, Shreyas Rajesh
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            NameFull: Ghosh, Sutirtha
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            NameFull: Raman, Balasubramanian
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09252312
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              Value: 684
          Titles:
            – TitleFull: Neurocomputing
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