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Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction

Machine learning (ML) models are excellent alternative solutions to model complex engineering issues with high reliability and accuracy. This paper presents two extensively explored ensemble models for predicting asphalt pavement temperature, the Markov chain Monte Carlo (MCMC) and random forest (RF...

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Bibliographic Details
Main Authors: Milad, A.A., Adwan, I., Majeed, S.A., Memon, Z.A., Bilema, M., Omar, H.A., Abdolrasol, M.G.M., Usman, A., Yusoff, N.I.M.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120050406&doi=10.1109%2fACCESS.2021.3129979&partnerID=40&md5=234343c6590d335875edd8bcad344ef6
http://eprints.utp.edu.my/29371/
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120050406&doi=10.1109%2fACCESS.2021.3129979&partnerID=40&md5=234343c6590d335875edd8bcad344ef6
http://eprints.utp.edu.my/29371/

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