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Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods

Overview of attention for article published in Construction & Building Materials, January 2023
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17 Mendeley
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Title
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
Published in
Construction & Building Materials, January 2023
DOI 10.1016/j.conbuildmat.2022.129871
Authors

Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, Filippo Giustozzi, Fauzan Mohd Jakarni, Nur Izzi Md Yusoff

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 12%
Researcher 2 12%
Lecturer 1 6%
Unspecified 1 6%
Other 1 6%
Other 1 6%
Unknown 9 53%
Readers by discipline Count As %
Engineering 6 35%
Social Sciences 1 6%
Unspecified 1 6%
Unknown 9 53%