Prediction of Long-Term Field Performance of Asphalt Concrete Overlays in a Southern State Using Supervised Machine-Learning

Author:

Mansour Elise1234,Mousa Momen R.1234,Dhasmana Heena1234,Hassan Marwa1234

Affiliation:

1. Graduate Research Assistant, Dept. of Construction Management, Louisiana State Univ. Email:

2. Assistant Professor, Dept. of Engineering Technology, Sam Houston State Univ. Email:

3. Assistant Professor of Research, Dept. of Construction Management, Louisiana State Univ.

4. Professor, Dept. of Construction Management, Louisiana State Univ..

Publisher

American Society of Civil Engineers

Reference21 articles.

1. Backpropagation Neural Network to estimate pavement performance: dealing with measurement errors

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3. CatBoost Model and Artificial Intelligence Techniques for Corporate Failure Prediction;Ben Jabeur S.;Technological Forecasting & Social Change,2020

4. Grid Search Parametric Optimization for FT-NIR Quantitative Analysis of Solid Soluble Content in Strawberry Samples;Chen H.;Vib.Spectrosc,2018

5. Chen T. and Guestrin C. (2016). Xgboost: A scalable tree boosting system.In Proceedings of the 22 nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM pp. 785–794.

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