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...
| 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. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29371 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| 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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