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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature.

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Title: Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature.
Authors: Gheisari, Mehdi1,2,3,4, Shafi, Jana5, Kosari, Saeed6, Amanabadi, Samaneh7, Mehdizadeh, Saeid8, Fernandez Campusano, Christian9, Barzan Abdalla, Hemn10,11, habdalla@kean.edu
Source: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-21, 21p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189915340
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Computational+Fluid+Mechanics%22">Engineering Applications of Computational Fluid Mechanics</searchLink>; Dec2025, Vol. 19 Issue 1, p1-21, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189915340
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19942060.2025.2450477
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1
    Titles:
      – TitleFull: Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Gheisari, Mehdi
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            NameFull: Shafi, Jana
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            NameFull: Kosari, Saeed
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            NameFull: Amanabadi, Samaneh
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            NameFull: Mehdizadeh, Saeid
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            NameFull: Fernandez Campusano, Christian
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            NameFull: Barzan Abdalla, Hemn
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 19942060
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              Value: 19
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            – TitleFull: Engineering Applications of Computational Fluid Mechanics
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