Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
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2023
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oai:scholars.utp.edu.my:370332023-09-06T04:37:45Z http://scholars.utp.edu.my/id/eprint/37033/ Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods Al-Sabaeei, Abdulnaser M Alhussian, Hitham Abdulkadir, Said Jadid Giustozzi, Filippo Jakarni, Fauzan Mohd Yusoff, Nur Izzi Md Elsevier 2023 Article NonPeerReviewed Al-Sabaeei, Abdulnaser M and Alhussian, Hitham and Abdulkadir, Said Jadid and Giustozzi, Filippo and Jakarni, Fauzan Mohd and Yusoff, Nur Izzi Md (2023) Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods. Construction and Building Materials, 363. p. 129871. |
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Al-Sabaeei, Abdulnaser M Alhussian, Hitham Abdulkadir, Said Jadid Giustozzi, Filippo Jakarni, Fauzan Mohd Yusoff, Nur Izzi Md |
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Al-Sabaeei, Abdulnaser M Alhussian, Hitham Abdulkadir, Said Jadid Giustozzi, Filippo Jakarni, Fauzan Mohd Yusoff, Nur Izzi Md Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
author_facet |
Al-Sabaeei, Abdulnaser M Alhussian, Hitham Abdulkadir, Said Jadid Giustozzi, Filippo Jakarni, Fauzan Mohd Yusoff, Nur Izzi Md |
author_sort |
Al-Sabaeei, Abdulnaser M |
title |
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
title_short |
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
title_full |
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
title_fullStr |
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
title_full_unstemmed |
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
title_sort |
predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods |
publisher |
Elsevier |
publishDate |
2023 |
url |
http://scholars.utp.edu.my/id/eprint/37033/ |
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1778164779112726528 |
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13.214268 |