Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm-Reference-Cited by-同舟云学术

Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm

Published:2024-05 Issue:5 Volume:36 Page:
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Ghanizadeh Ali Reza¹,Tavana Amlashi Amir²,Heidarabadizadeh Nasrin³,Dessouky Samer⁴^ORCID

Affiliation:

1. Associate Professor, Dept. of Civil Engineering, Sirjan Univ. of Technology, Sirjan 7813733385, Iran (corresponding author).

2. Ph.D. Student, School of Civil and Environmental Engineering and Construction Management, Univ. of Texas at San Antonio, 1 UTSA Circle San Antonio, San Antonio, TX 78249.

3. Research Assistant, Dept. of Civil Engineering, Sirjan Univ. of Technology, Sirjan 7813733385, Iran.

4. Professor, School of Civil and Environmental Engineering and Construction Management, Univ. of Texas at San Antonio, 1 UTSA Circle San Antonio, San Antonio, TX 78249. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JMCEE7.MTENG-17222

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5. Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete

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