Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume:9 Page:158041-158056
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Milad Abdalrhman Abrahim^ORCID,Adwan Ibrahim^ORCID,Majeed Sayf A.^ORCID,Memon Zubair Ahmed^ORCID,Bilema Munder^ORCID,Omar Hend Ali^ORCID,Abdolrasol Maher G. M.^ORCID,Usman Aliyu^ORCID,Yusoff Nur Izzi Md^ORCID

Funder

Prince Sultan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09623533.pdf?arnumber=9623533

Cited by 20 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. Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers;Innovative Infrastructure Solutions;2024-09-14

2. Real-time pavement temperature prediction through ensemble machine learning;Engineering Applications of Artificial Intelligence;2024-09

3. Multi-Classification Machine Learning Algorithm for Predicting Pavement Maintenance Treatments;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

4. Application of the Machine Learning Method to Determine Spring Load Limits and Winter Weight Premium;Transportation Research Record: Journal of the Transportation Research Board;2024-06-04

5. XGBoost-SHAP framework for asphalt pavement condition evaluation;Construction and Building Materials;2024-05