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Ahmed Hassan Backar on Muck Rack

Ahmed Hassan Backar

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Articles

A hybrid GPR framework with feature selection for enhanced prediction and explainability of subgrade soil strength

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By Hegazy Rezk, Billel Bouguedra, Khaled Sandjak, Mouloud Ouanani, Ahmed Hassan Backar
| Nature Verified
Abstract In order to overcome the drawbacks of the labour-intensive California Bearing Ratio (CBR) test for pavement design, a Hybrid Gaussian Process Regression (GPR) model for predicting subgrade soil strength was developed. The model is optimised using the Bayesian Tree Parzen Estimator and uses Recursive Feature Elimination for feature selection.
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