Prediction of the crack condition of highway pavements using machine learning models-Reference-Cited by-同舟云学术

Prediction of the crack condition of highway pavements using machine learning models

Published:2019-03-18 Issue:7 Volume:15 Page:940-953
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Inkoom Sylvester¹,Sobanjo John¹,Barbu Adrian²,Niu Xufeng²

Affiliation:

1. FAMU-FSU College of Engineering Department of Civil and Environmental Engineering, Tallahassee, FL, USA;

2. Department of Statistics, Florida State University, Tallahassee, FL, USA;

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2019.1581230

Reference46 articles.

1. Evaluation of Pavement Roughness Using an Android-Based Smartphone

2. Use of Recursive Partitioning to Predict National Bridge Inventory Condition Ratings from National Bridge Elements Condition Data

3. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

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