Comparative Study of Data Mining Models for Prediction of Bridge Future Conditions-Reference-Cited by-同舟云学术

Comparative Study of Data Mining Models for Prediction of Bridge Future Conditions

Published:2020-02 Issue:1 Volume:34 Page:04019108
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Martinez Pablo¹,Mohamed Emad²^ORCID,Mohsen Osama³,Mohamed Yasser⁴

Affiliation:

1. Ph.D. Student, Dept. of Building Science and Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3.

2. Ph.D. Student, Dept. of Construction Engineering and Management, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3 (corresponding author). ORCID: .

3. Ph.D. Student, Dept. of Construction Engineering and Management, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3.

4. Professor, Dept. of Construction Engineering and Management, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001395

Reference39 articles.

1. Abu Dabous S. 2008. “A decision support methodology for rehabilitation management of concrete bridges.” Doctoral dissertation Dept. of Building Civil and Environmental Engineering Concordia Univ.

2. As-Built Information Model for Bridge Maintenance

3. Construction delay: a quantitative analysis

4. Automatic Classification of Project Documents on the Basis of Text Content

5. Condition Prediction for Cured-in-Place Pipe Rehabilitation of Sewer Mains

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