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Prediction of Distresses in Pavement Networks: A Machine Learning Approach
The quality of pavement networks is greatly affected by different distresses. These distresses appear in many forms, such as cracking, potholes, rutting and different types of deformation. As a result, to ensure effective pavement management, accurate modeling of these different distresses has becom...
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AUC Knowledge Fountain
2024
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