1 MLIT, "the Limit - State based Bridge Design Specification"
2 Shuang Sun, "Vibration-based Damage Detection in Bridges via Machine Learning" 대한토목학회 22 (22): 5123-5132, 2018
3 Djemana, M., "Using electromechanical impedance and extreme learning machine to detect and locate damage in structures" 36-39, 2017
4 Pathirage, C. S. N., "Structural damage identification based on autoencoder neural networks and deep learning" 172 : 13-28, 2018
5 Rageh, A., "Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty" 134 (134): 1-21, 2020
6 KISTEC, "Specification for detailed violation of safety inspection and precision safety diagnosis (bridge)"
7 Mangalathu, S., "Rapid seismic damage evaluation of bridge portfolios using machine learning techniques" 201 (201): 1-12, 2019
8 Brandon, R., "How to Convert an RGB Image to Grayscale" End-to-End Machine Learning Library
9 Taeho, J., "Everyone's Deep Learning" Gilbut 221-233, 2019
10 Guoqing Gui, "Data-Driven Support Vector Machine with Optimization Techniques for Structural Health Monitoring and Damage Detection" 대한토목학회 21 (21): 523-534, 2017
1 MLIT, "the Limit - State based Bridge Design Specification"
2 Shuang Sun, "Vibration-based Damage Detection in Bridges via Machine Learning" 대한토목학회 22 (22): 5123-5132, 2018
3 Djemana, M., "Using electromechanical impedance and extreme learning machine to detect and locate damage in structures" 36-39, 2017
4 Pathirage, C. S. N., "Structural damage identification based on autoencoder neural networks and deep learning" 172 : 13-28, 2018
5 Rageh, A., "Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty" 134 (134): 1-21, 2020
6 KISTEC, "Specification for detailed violation of safety inspection and precision safety diagnosis (bridge)"
7 Mangalathu, S., "Rapid seismic damage evaluation of bridge portfolios using machine learning techniques" 201 (201): 1-12, 2019
8 Brandon, R., "How to Convert an RGB Image to Grayscale" End-to-End Machine Learning Library
9 Taeho, J., "Everyone's Deep Learning" Gilbut 221-233, 2019
10 Guoqing Gui, "Data-Driven Support Vector Machine with Optimization Techniques for Structural Health Monitoring and Damage Detection" 대한토목학회 21 (21): 523-534, 2017
11 Han, M., "Construction of Digital Twin for Bridges and Development of Damage Localization Process using CNN Deep Learning" Inha University 2019
12 Daphne, C., "An intuitive guide to Convolutional Neural Networks"
13 Neves, A. C., "A new approach to damage detection in bridges using machine learning" 5 : 73-84, 2018
14 Malekjafarian, A., "A machine learning approach to bridge-damage detection using responses measured on a passing vehicle" 19 (19): 1-19, 2019
15 Lee, K., "A Novelty detection approach for tendons of prestressed concrete bridges based on a convolutional autoencoder and acceleration Data" 19 (19): 1-27, 2019