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Predicting Passive Earth Pressure Coefficients Using Deep Learning Techniques with Computational Cost and Sensitivity Analysis.

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Title: Predicting Passive Earth Pressure Coefficients Using Deep Learning Techniques with Computational Cost and Sensitivity Analysis.
Authors: Attache, Salima1 (AUTHOR) salima.attache@univ-biskra.dz, Sayah, Mohamed2 (AUTHOR), Terrissa, Labib Sadek3 (AUTHOR), Zerhouni, Noureddine4 (AUTHOR)
Source: Mathematical Modelling of Engineering Problems. Jun2025, Vol. 12 Issue 6, p1821-1836. 16p.
Database: Mathematics Source
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Header DbId: msf
DbLabel: Mathematics Source
An: 186835477
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PubType: Academic Journal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.18280/mmep.120601
    Languages:
      – Code: eng
        Text: English
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        StartPage: 1821
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      – TitleFull: Predicting Passive Earth Pressure Coefficients Using Deep Learning Techniques with Computational Cost and Sensitivity Analysis.
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            NameFull: Attache, Salima
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            NameFull: Sayah, Mohamed
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            NameFull: Terrissa, Labib Sadek
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              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 12
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