Expediting Life Cycle Cost Analysis of Infrastructure Assets under Multiple Uncertainties by Deep Neural Networks-Reference-Cited by-同舟云学术

Expediting Life Cycle Cost Analysis of Infrastructure Assets under Multiple Uncertainties by Deep Neural Networks

Published:2021-11 Issue:6 Volume:37 Page:04021059
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Asghari Vahid¹^ORCID,Hsu Shu-Chien²^ORCID,Wei Hsi-Hsien³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., 181 Chatham Rd. South, Kowloon, Hong Kong. ORCID: .

2. Associate Professor, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., 181 Chatham Rd. South, Kowloon, Hong Kong (corresponding author). ORCID: .

3. Assistant Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., 181 Chatham Rd. South, Kowloon, Hong Kong. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000950

Reference61 articles.

1. Abadi M. et al. 2016. “TensorFlow: Large-scale machine learning on heterogeneous systems.” Preprint submitted March 14 2016. https://arxiv.org/abs/1603.04467.

2. Decision Support Framework for Infrastructure Maintenance Investment Decision Making

3. Asghari V. 2020. “XProject.” Accessed June 2 2021. https://github.com/vd1371/XProject.

4. Asghari V. and S.-C. Hsu. 2020. “GIAMS.” Accessed January 6 2021. https://github.com/vd1371/GIAMS.

5. Deep neural network based framework for complex correlations in engineering metrics

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