A robust evaluating strategy of tunnel deterioration using ensemble machine learning algorithms-Reference-Cited by-同舟云学术

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A robust evaluating strategy of tunnel deterioration using ensemble machine learning algorithms

Published:2024-07 Issue: Volume:133 Page:108364
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Liang Du^ORCID,Rui Zhang,Yuguang Fu^ORCID

Funder

Nanyang Technological University

National Research Foundation

Government of Singapore Ministry of Education

Publisher

Elsevier BV

Reference32 articles.

1. Evaluating deterioration of tunnels using computational machine learning algorithms;Ahmed;J. Constr. Eng. Manag.,2021

2. 2021 Report card for America’s infrastructure: A comprehensive assessment of America’s infrastructure;ASCE,2021

3. Contractual perspective for BIM utilization in US construction projects;Assaad;J. Constr. Eng. Manag.,2020

4. Risk-cost optimised maintenance strategy for tunnel structures;Baji;Tunn. Undergr. Space Technol.,2017

5. Random forests;Breiman;Mach. Learn.,2001

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