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An Interpretable CatBoost Framework for Intelligent Classification and Evaluation of Pavement–Subgrade Systems Using FWD Data
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XGBoost-SHAP framework for asphalt pavement condition evaluation
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Elastic and viscoelastic back-calculation of pavement layers’ moduli using data obtained from traffic speed deflection devices
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Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
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Non-destructive evaluation of sustainable pavement technologies using artificial neural networks
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Structural optimization design of semi-rigid base asphalt pavement using modulus matching criterion and multi-indicator range analysis
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Comparison of numerical and experimental responses of pavement systems using various resilient modulus models
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Development of genetic-based models for predicting the resilient modulus of cohesive pavement subgrade soils
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Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
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Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties
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Analysis and Design of Doweled Slab‐on‐Grade Pavement Systems
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Evaluation of FWD Data for Determination of Layer Moduli of Pavements
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Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation
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