New Measure to Understand and Compare Bridge Conditions Based on Inspections Time-Series Data-Reference-Cited by-同舟云学术

New Measure to Understand and Compare Bridge Conditions Based on Inspections Time-Series Data

Published:2021-12 Issue:4 Volume:27 Page:04021037
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Kale Akshay¹,Ricks Brian²,Gandhi Robin³

Affiliation:

1. Ph.D. Student, Dept. of Computer Science, Univ. of Nebraska at Omaha, 6001 Dodge St., Omaha, NE 68182 (corresponding author).

2. Assistant Professor, Dept. of Computer Science, Univ. of Nebraska at Omaha, 6001 Dodge St., Omaha, NE 68182.

3. Professor, School of Interdisciplinary Informatics, Univ. of Nebraska at Omaha, 6001 Dodge St., Omaha, NE 68182.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000633

Reference27 articles.

1. Null Hypothesis Testing: Problems, Prevalence, and an Alternative

2. ASCE. 2017. 2017 infrastructure report card. Reston, VA: ASCE.

3. Bridge Infrastructure Asset Management System: Comparative Computational Machine Learning Approach for Evaluating and Predicting Deck Deterioration Conditions

4. Barreto, H., and F. Howland. 2006. Introductory econometrics: Using Monte Carlo simulation with Microsoft Excel. Cambridge, UK: Cambridge University Press.

5. Estimating the Future Condition of Highway Bridge Components Using National Bridge Inventory Data

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