A Novel Approach for Advancing Asphalt Pavement Temperature and Flow Number Predictions Using Optical Microscope Algorithm–Least Square Moment Balanced Machine-Reference-Cited by-同舟云学术

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A Novel Approach for Advancing Asphalt Pavement Temperature and Flow Number Predictions Using Optical Microscope Algorithm–Least Square Moment Balanced Machine

Published:2024-11 Issue:6 Volume:38 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Cheng Min-Yuan¹^ORCID,Khasani Riqi Radian²^ORCID

Affiliation:

1. Professor, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, #43, Sec. 4, Keelung Rd., Taipei 10607, Taiwan (corresponding author). ORCID: .

2. Researcher, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, #43, Sec. 4, Keelung Rd., Taipei 10607, Taiwan; Lecturer, Dept. of Civil Engineering, Diponegoro Univ., 13 Prof Soedharto, Semarang 50275, Indonesia. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-5923

Reference36 articles.

1. Abo-Hashema M. A. 2013. “Modeling pavement temperature prediction using artificial neural networks.” In Proc. Airfield and Highway Pavement 2013: Sustainable and Efficient Pavements 490–505. Reston VA: ASCE.

2. Formulation of flow number of asphalt mixes using a hybrid computational method

3. Roughness Modeling for Composite Pavements using Machine Learning

4. Differential Evolution: A review of more than two decades of research

5. LIBSVM

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