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Paradigm on Levenberg–Marquardt neural algorithm analysis of heat conduction optimization for ternary hybrid nanofluid with entropy generation.

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Title: Paradigm on Levenberg–Marquardt neural algorithm analysis of heat conduction optimization for ternary hybrid nanofluid with entropy generation.
Authors: Qureshi, Hamid1 (AUTHOR), Shah, Zahoor2 (AUTHOR), Raja, Muhammad Asif Zahoor3 (AUTHOR), Shoaib, Muhammad4 (AUTHOR), Khan, Waqar Azeem1,5 (AUTHOR) waqarazeem@bit.edu.cn, Muhammad, Taseer6 (AUTHOR)
Source: ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. Feb2026, Vol. 106 Issue 2, p1-21. 21p.
Database: Mathematics Source
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DbLabel: Mathematics Source
An: 192087931
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PubType: Academic Journal
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  Data: Paradigm on Levenberg–Marquardt neural algorithm analysis of heat conduction optimization for ternary hybrid nanofluid with entropy generation.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/zamm.202301095
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1
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      – TitleFull: Paradigm on Levenberg–Marquardt neural algorithm analysis of heat conduction optimization for ternary hybrid nanofluid with entropy generation.
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            NameFull: Qureshi, Hamid
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            NameFull: Shah, Zahoor
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            NameFull: Raja, Muhammad Asif Zahoor
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            NameFull: Shoaib, Muhammad
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            NameFull: Khan, Waqar Azeem
      – PersonEntity:
          Name:
            NameFull: Muhammad, Taseer
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          Dates:
            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 106
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            – TitleFull: ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
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