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    Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques by Khaled Megahed

    Published 2025-02-01
    “…From evolution metrics, the Gaussian process regression, CatBoost (CATB), and LightGBM (LGBM) models emerged as the most accurate and reliable model, with nearly more than 97% of FE samples within the 10% error range. Despite the robust performance of the ML models, their black-box nature limits practical applicability in design contexts. …”
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