Bridge Clustering for Systematic Recognition of Damage Patterns on Bridge Elements-Reference-Cited by-同舟云学术

Bridge Clustering for Systematic Recognition of Damage Patterns on Bridge Elements

Published:2019-09 Issue:5 Volume:33 Page:04019028
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Chang Kowoon¹^ORCID,Chi Seokho²

Affiliation:

1. Graduate Student, Dept. of Civil and Environment Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Republic of Korea. ORCID: .

2. Associate Professor, Dept. of Civil and Environment Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Republic of Korea; Adjunct Professor, Institute of Construction and Environmental Engineering, 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Republic of Korea (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000846

Reference39 articles.

1. Alipour M. D. K. Harris and L. E. Barnes. 2017. “Pattern recognition in the national bridge inventory for automated screening and the assessment of infrastructure.” In Proc. Structures Congress 279–291. Reston VA: ASCE.

2. Cluster validation techniques for genome expression data

3. The use of the area under the ROC curve in the evaluation of machine learning algorithms

4. Constraint-based clustering model for determining contract packages of bridge maintenance inspection

5. Constraint-based clustering and its applications in construction management

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