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Cited article:

A CNN deep learning approach to scour depth estimation around complex bridge piers in steady flow environments

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Advances in Bridge Engineering 6 (1) (2025)
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Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision

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Structural Control and Health Monitoring 2024 (1) (2024)
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Measurement and prediction of scour volume around a cubic artificial reef under steady flow conditions using stereo vision

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https://doi.org/10.1016/j.oceaneng.2024.119635

Development of Natural Feature-Detection and -Matching Techniques for Monitoring Actual Retaining-Wall Displacements

Chang-Ho Song, Minh-Vuong Pham, Ba-Quang-Vinh Nguyen, Ji-Sung Lee and Yun-Tae Kim
Journal of the Korean Society of Hazard Mitigation 24 (6) 337 (2024)
https://doi.org/10.9798/KOSHAM.2024.24.6.337