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Author

Omokaro Idama

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Open access Sep 2026

An Integrated Machine Learning Framework for Predictive Assessment of Soil Bearing Capacity and Settlement Using Multisource Geotechnical and Environmental Data

Abstract Reliable foundation design requires simultaneous control of ultimate bearing capacity and serviceability settlement, yet conventional prediction methods commonly treat soil parameters as static and omit rainfall, moisture, matric suction and groundwater fluctuations. This article develops a machine-learning-dr...

Afolabi I. Awodeyi, E. R. Iwemah, Omokaro Idama et al. · 0 citations

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