Air temperature prediction models for pavement design: a gradient boosting-based approach
Author:
Affiliation:
1. Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2024.2381658
Reference52 articles.
1. Al-Totanje, A.R. and Jasim, S.N., 2023, April. Prediction model of air temperature in relation to field and remotely sensed data in Baghdad greater area. In: IOP conference series: earth and environmental science. Vol. 1158, No. 3. IOP Publishing, p. 032007.
2. An eXtreme gradient boosting model for predicting dynamic modulus of asphalt concrete mixtures;Ali Y.;Construction and Building Materials,2021
3. Empirical correlations of solar and other weather parameters;Audi M. S.;Journal of King Saud University – Engineering Sciences,1993
4. A gradient boosting approach to understanding airport runway and taxiway pavement deterioration;Barua L.;International Journal of Pavement Engineering,2021
5. Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models;Benemaran R.S.;International Journal of Pavement Engineering,2023
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