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Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives

This study aimed to develop models assessing 26 machine-learning algorithms in regression analysis to predict the properties of terminal blend crumb rubber-modified bitumen (TB-CRMB) made with crosslinking additives. During the data collection, the properties of the modified binders prepared at 6, 1...

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Bibliographic Details
Main Authors: Jegatheesan N., Ibrahim M.R., Ahmed A.N., Koting S., El-Shafie A., Katman H.Y.B.
Other Authors: 57503097000
Format: Article
Published: Elsevier Ltd 2025
Subjects:
Regression analysis
Composite modification
Crosslinking additive
Crumb rubber
High interaction parameter
Interaction parameters
Machine learning algorithms
Modified bitumen
Prediction modelling
Terminal blend-crumb rubber modified bitumen
Terminal blends
Prediction models
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