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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Hai-Bang Ly

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2 papers indexed here

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Open access Sep 2026

Interpretable Machine Learning Framework for Predicting Air Void Content in Sustainable Steel-Slag SMA Mixtures Using Metaheuristic-Optimized XGBoost

An interpretable machine learning framework for predicting Va using 74 mixtures collected from 16 published studies and nine mixture-related variables is developed, which provides an interpretable tool for preliminary Va estimation and mixture screening, while independent laboratory and field validation remains necessa...

Thu-Hien Thi Hoang, H. Nguyen, H. Hoang et al. · 0 citations
Aug 2026

SHAP-interpreted XGBoost prediction framework for the shear capacity of externally bonded FRP-strengthened RC beams

Externally bonded fiber-reinforced polymer (EB-FRP) strengthening improves the shear capacity of reinforced concrete (RC) beams, but prediction remains challenging because shear resistance depends on interacting geometric, material, reinforcement, strengthening, and failure-mechanism variables. This study develops a...

Thuy-Anh Nguyen, Hai-Bang Ly · 0 citations

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