CONTENTS
Volume 31, Number 4, 2023
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Special issue of the 2nd International Competition of Structural Health Monitoring (IC-SHM 2021)
Yasutaka Narazaki, Vedhus Hoskere, Yuequan Bao, Hui Li and Billie F. Spencer Jr.
pages i-ii.
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Computer vision and deep learning-based post-earthquake intelligent assessment of engineering structures: Technological status and challenges
T. Jin, X.W. Ye, W.M. Que and S.Y. Ma
pages 311-323.
DOI: 10.12989/sss.2023.31.4.311
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A hierarchical semantic segmentation framework for computer vision-based bridge damage detection
Jingxiao Liu, Yujie Wei, Bingqing Chen and Hae Young Noh
pages 325-334.
DOI: 10.12989/sss.2023.31.4.325
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Ensemble-based deep learning for autonomous bridge component and damage segmentation leveraging Nested Reg-UNet
Abhishek Subedi, Wen Tang, Tarutal Ghosh Mondal, Rih-Teng Wu and Mohammad R. Jahanshahi
pages 335-349.
DOI: 10.12989/sss.2023.31.4.335
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Twin models for high-resolution visual inspections
Seyedomid Sajedi, Kareem A. Eltouny and Xiao Liang
pages 351-363.
DOI: 10.12989/sss.2023.31.4.351
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Deep learning-based post-disaster building inspection with channel-wise attention and semi-supervised learning
Wen Tang, Tarutal Ghosh Mondal, Rih-Teng Wu, Abhishek Subedi and Mohammad R. Jahanshahi
pages 365-381.
DOI: 10.12989/sss.2023.31.4.365
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Automatic assessment of post-earthquake buildings based on multi-task deep learning with auxiliary tasks
Zhihang Li, Huamei Zhu, Mengqi Huang, Pengxuan Ji, Hongyu Huang and Qianbing Zhang
pages 383-392.
DOI: 10.12989/sss.2023.31.4.383
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A novel computer vision-based vibration measurement and coarse-to-fine damage assessment method for truss bridges
Wen-Qiang Liu, En-Ze Rui, Lei Yuan, Si-Yi Chen, You-Liang Zheng and Yi-Qing Ni
pages 393-407.
DOI: 10.12989/sss.2023.31.4.393
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Deformation estimation of truss bridges using two-stage optimization from cameras
Jau-Yu Chou and Chia-Ming Chang
pages 409-419.
DOI: 10.12989/sss.2023.31.4.409
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Target-free vision-based approach for vibration measurement and damage identification of truss bridges
Dong Tan, Zhenghao Ding, Jun Li and Hong Hao
pages 421-436.
DOI: 10.12989/sss.2023.31.4.421