بدائل البحث:
"models using algorithms" » "models pacing algorithms" (توسيع البحث), "models nine algorithms" (توسيع البحث), "models sorting algorithms" (توسيع البحث), "model using algorithms" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
"element model algorithm" » "element novel algorithm" (توسيع البحث), "element modbo algorithm" (توسيع البحث), "element modeling algorithm" (توسيع البحث)
"models using algorithms" » "models pacing algorithms" (توسيع البحث), "models nine algorithms" (توسيع البحث), "models sorting algorithms" (توسيع البحث), "model using algorithms" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
"element model algorithm" » "element novel algorithm" (توسيع البحث), "element modbo algorithm" (توسيع البحث), "element modeling algorithm" (توسيع البحث)
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Influence of Shape Parameters on the Compressive Performance of the Specimens.
منشور في 2025الموضوعات: -
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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.
منشور في 2025الموضوعات: -
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Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens.
منشور في 2025الموضوعات: -
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Influence of the Roundness Ratio on the Compressive Performance of the Specimens.
منشور في 2025الموضوعات: -
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Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf
منشور في 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
منشور في 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
منشور في 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
منشور في 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. …"