Sustainability in Prefabricated Construction: Enhancing Multicriteria Analysis and Prediction Using Machine Learning-Reference-Cited by-同舟云学术

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Sustainability in Prefabricated Construction: Enhancing Multicriteria Analysis and Prediction Using Machine Learning

Published:2024-08 Issue:8 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Jeong Jaemin¹^ORCID,Jeong Jaewook²^ORCID

Affiliation:

1. Postdoctoral Fellow, Dept. of Civil and Mineral Engineering, Univ. of Toronto, Toronto, ON, Canada M5S 1A1. ORCID:

2. Associate Professor, Dept. of Safety Engineering, Seoul National Univ. of Science and Technology, Seoul 01811, Republic of Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-14227

Reference57 articles.

1. Construction performance comparison between conventional and industrialised building systems in Malaysia

2. AIA (American Institute of Architects). 2010. A guide to life cycle assessment of buildings. New York: AIA.

3. APEC (Asia-Pacific Economic Cooperation). 2004. Life cycle assessment best practices of ISO 14040 Series. Seoul: Ajou Univ.

4. Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation

5. A simulation-based framework for concurrent safety and productivity improvement in construction projects

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