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Showing 21 - 33 results of 33 for search '(((("element modeling algorithm") OR ("element method algorithm"))) OR ("model using algorithm"))', query time: 0.41s Refine Results
  1. 21
    Influence of Shape Parameters on the Compressive Performance of the Specimens.

    Influence of Shape Parameters on the Compressive Performance of the Specimens. by Nan Ru (9594384)

    Published 2025
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  2. 22
    Schematic diagram of the extension of vertices of large and small polygons.

    Schematic diagram of the extension of vertices of large and small polygons. by Nan Ru (9594384)

    Published 2025
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  3. 23
    Specimen for the splitting test.

    Specimen for the splitting test. by Nan Ru (9594384)

    Published 2025
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  4. 24
    The influence of angularity on the splitting resistance performance of the specimens.

    The influence of angularity on the splitting resistance performance of the specimens. by Nan Ru (9594384)

    Published 2025
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  5. 25
    Example Diagram.

    Example Diagram. by Nan Ru (9594384)

    Published 2025
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  6. 26
    Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens.

    Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens. by Nan Ru (9594384)

    Published 2025
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  7. 27
    Aggregate Measurement Image in IPP.

    Aggregate Measurement Image in IPP. by Nan Ru (9594384)

    Published 2025
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  8. 28
    Influence of the Roundness Ratio on the Compressive Performance of the Specimens.

    Influence of the Roundness Ratio on the Compressive Performance of the Specimens. by Nan Ru (9594384)

    Published 2025
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  9. 29
    Internal changes of the specimen of 0.89 to 1.

    Internal changes of the specimen of 0.89 to 1. by Nan Ru (9594384)

    Published 2025
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  10. 30
    Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf

    Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf by Daniel T. Rademaker (12521431)

    Published 2025
    “…PANDORA has overcome this challenge through integrative modeling using algorithmically reversed peptides as templates. …”
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  11. 31
    Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip

    Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip by Zhou Dong (6293171)

    Published 2025
    “…The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms such as LightGBM, Random Forest, and XGBoost, achieved an R<sup>2</sup> value of 0.743 for biological activity prediction, demonstrating strong predictive performance. …”
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  12. 32
    Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip

    Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip by Zhou Dong (6293171)

    Published 2025
    “…The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms such as LightGBM, Random Forest, and XGBoost, achieved an R<sup>2</sup> value of 0.743 for biological activity prediction, demonstrating strong predictive performance. …”
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  13. 33
    Data Sheet 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip

    Data Sheet 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip by Zhou Dong (6293171)

    Published 2025
    “…The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms such as LightGBM, Random Forest, and XGBoost, achieved an R<sup>2</sup> value of 0.743 for biological activity prediction, demonstrating strong predictive performance. …”
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