most citedA Data-Driven Machine Learning Approach for Predicting Axial Load Capacity in Steel Storage Rack Columns

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cond-mat.mtrl-sci2026

A literature-grounded scientific reasoning framework for defect-engineered TiO photocatalysts

F. J. Dominguez-Gutierrez, E. Wierzbicka

Defect-engineered TiO photocatalysts are extensively investigated for photocatalytic hydrogen evolution; however, the highly heterogeneous nature of the literature, including i…

cs.LG2025★ 1 cited

A Data-Driven Machine Learning Approach for Predicting Axial Load Capacity in Steel Storage Rack Columns

Bakhtiyar Mammadli, Casim Yazici, Muhammed Gürbüz +3

In this study, we present a machine learning (ML) framework to predict the axial load-bearing capacity, (kN), of cold-formed steel structural members. The methodology emphasizes ro…