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Deep learning approaches for MIMO time-series analysis.

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Bibliographic Details
Title: Deep learning approaches for MIMO time-series analysis.
Authors: Kurniawan, Fachrul1, fachrulk@ti.uin-malang.ac.id, Sulaiman, Sarina2, sarina@utm.my, Konate, Siaka3, konatesiaka77@gmail.com, Abdalla, Modawy Adam Ali4,5, brojacter88@yahoo.com
Source: International Journal of Advances in Intelligent Informatics; Jul2023, Vol. 9 Issue 2, p286-300, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 171362304
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Deep learning approaches for MIMO time-series analysis.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advances+in+Intelligent+Informatics%22">International Journal of Advances in Intelligent Informatics</searchLink>; Jul2023, Vol. 9 Issue 2, p286-300, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171362304
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.26555/ijain.v9i2.1092
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 286
    Titles:
      – TitleFull: Deep learning approaches for MIMO time-series analysis.
        Type: main
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            NameFull: Kurniawan, Fachrul
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            NameFull: Sulaiman, Sarina
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            NameFull: Konate, Siaka
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            NameFull: Abdalla, Modawy Adam Ali
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          Dates:
            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
          Identifiers:
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              Value: 24426571
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              Value: 9
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              Value: 2
          Titles:
            – TitleFull: International Journal of Advances in Intelligent Informatics
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