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Experimental Insights and Machine Learning-Based Predictions of Momentum-Controlled Dual Co-Flow Jet Airfoil.

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Bibliographic Details
Title: Experimental Insights and Machine Learning-Based Predictions of Momentum-Controlled Dual Co-Flow Jet Airfoil.
Authors: Waqar, Anees1, anees.rw@gmail.com, Ajmal, Muhammad Hammad1, hammadajmal890@gmail.com, Sohail, Muhammad Umer1, umer.sohail@ist.edu.pk
Source: Flow, Turbulence & Combustion; Apr2026, Vol. 116 Issue 3, p1-38, 38p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192655537
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Experimental Insights and Machine Learning-Based Predictions of Momentum-Controlled Dual Co-Flow Jet Airfoil.
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  Data: <searchLink fieldCode="JN" term="%22Flow%2C+Turbulence+%26+Combustion%22">Flow, Turbulence & Combustion</searchLink>; Apr2026, Vol. 116 Issue 3, p1-38, 38p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192655537
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10494-026-00742-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 38
        StartPage: 1
    Titles:
      – TitleFull: Experimental Insights and Machine Learning-Based Predictions of Momentum-Controlled Dual Co-Flow Jet Airfoil.
        Type: main
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            NameFull: Waqar, Anees
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            NameFull: Ajmal, Muhammad Hammad
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            NameFull: Sohail, Muhammad Umer
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 116
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Flow, Turbulence & Combustion
              Type: main
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