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

Author:

Milad Abdalrhman AbrahimORCID,Adwan IbrahimORCID,Majeed Sayf A.ORCID,Memon Zubair AhmedORCID,Bilema MunderORCID,Omar Hend AliORCID,Abdolrasol Maher G. M.ORCID,Usman AliyuORCID,Yusoff Nur Izzi MdORCID

Funder

Prince Sultan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of machine learning techniques to predict the temperature distribution in semi-rigid pavement with a cement-treated base;Innovative Infrastructure Solutions;2024-02-06

2. Pre‐insertion resistors temperature prediction based on improved WOA‐SVR;IET Science, Measurement & Technology;2024-01-13

3. Novel approaches to predict the Marshall parameters of basalt fiber asphalt concrete;Construction and Building Materials;2023-10

4. Measurement Methodology: Visualizing Uncertainty in Machine Learning-Assisted Measurements;IEEE Instrumentation & Measurement Magazine;2023-10

5. Applications of Machine Learning in Predicting the Bridge Deck Surface Temperature;2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings);2023-09-16

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