Vision and Support Vector Machine–Based Train Classification Using Weigh-in-Motion Data-Reference-Cited by-同舟云学术

Vision and Support Vector Machine–Based Train Classification Using Weigh-in-Motion Data

Published:2022-06 Issue:6 Volume:27 Page:
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Sun Zhen¹^ORCID,Santos João²,Caetano Elsa³^ORCID

Affiliation:

1. Construct-ViBest, Faculty of Engineering (FEUP), Univ. of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal (corresponding author). ORCID: .

2. Structures Dept., LNEC, National Laboratory for Civil Engineering, Lisbon 1700-075, Portugal.

3. Construct-ViBest, Faculty of Engineering (FEUP), Univ. of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001878

Reference43 articles.

1. Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring

2. A VISION SYSTEM FOR VIBRATION MONITORING OF CIVIL ENGINEERING STRUCTURES

3. Histograms of Oriented Gradients for Human Detection

4. Developing Fatigue Vehicle Models for Bridge Fatigue Assessment under Different Traffic Conditions

5. Predicting fatigue damage of highway suspension bridge hangers using weigh-in-motion data and machine learning;Deng Y.;Struct. Infrastruct. Eng.,2020

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