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"element modeling algorithm" » "element making algorithm" (Expand Search), "element model algorithm" (Expand Search)
"element method algorithm" » "element network algorithm" (Expand Search), "element means algorithm" (Expand Search), "element mean algorithm" (Expand Search)
"models using algorithm" » "models using algorithms" (Expand Search), "models routing algorithm" (Expand Search), "models fusion algorithm" (Expand Search), "model using algorithm" (Expand Search)
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Influence of Shape Parameters on the Compressive Performance of the Specimens.
Published 2025Subjects: -
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Schematic diagram of the extension of vertices of large and small polygons.
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The influence of angularity on the splitting resistance performance of the specimens.
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Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens.
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Influence of the Roundness Ratio on the Compressive Performance of the Specimens.
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Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf
Published 2025“…PANDORA has overcome this challenge through integrative modeling using algorithmically reversed peptides as templates. …”
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Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
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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Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
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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Data Sheet 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
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. …”