A gradient boosting approach to understanding airport runway and taxiway pavement deterioration
Author:
Affiliation:
1. Department of Civil and Materials Engineering, University of Illinois, Chicago, IL, USA
2. Department of Civil Engineering, University of Texas Rio Grande Valley, Edinburg, TX, USA
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2020.1714616
Reference66 articles.
1. Attoh-Okine, N.O., 1994. Predicting roughness progression in flexible pavements using artificial neural networks. In: Proc., 3rd int. conf. on managing pavements, transportation research board. San Antonio, TX, 55–62.
2. Calculated and Measured Air and Soil Freeze-Thaw Frequencies
3. Barua, L. et al., 2019b. Predicting airport runway and taxiway pavement conditions: a gradient boosting approach. In: Proceedings of the 98th annual meeting of the transportation research board. Washington, DC.
4. Machine learning for international freight transportation management: A comprehensive review
5. Prediction of Pavement Performance through Neuro-Fuzzy Reasoning
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