A comparative machine and deep learning approach for predicting ultimate bearing capacity of shallow foundations in cohesionless soil

Abstract This study developed a Python-based framework to predict the ultimate bearing capacity of shallow foundations on cohesionless soil, employing machine learning (ML) and deep learning (DL) techniques. Utilizing a comprehensive dataset of 116 footing experiments, Eleven ML models (Gaussian Pro...

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Váldodahkki:	Mahmoud El Gendy
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-11-01
Ráidu:	Scientific Reports
Fáttát:	Artificial intelligence Machine learning Deep learning Bearing capacity Shallow foundations Cohesionless soil
Liŋkkat:	https://doi.org/10.1038/s41598-025-22812-7
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