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Applicability of machine learning to a crack model in concrete bridges.

, , , and . Comput. Aided Civ. Infrastructure Eng., 35 (8): 775-792 (2020)

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Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach., , , , , , , , , and . Adv. Robotics, 35 (11): 715-722 (2021)Applicability of machine learning to a crack model in concrete bridges., , , and . Comput. Aided Civ. Infrastructure Eng., 35 (8): 775-792 (2020)Development of an excavator-avoidance system for buried pipes., , , , , , , , , and 2 other author(s). Adv. Robotics, 35 (23): 1468-1483 (2021)A deep learning-based image captioning method to automatically generate comprehensive explanations of bridge damage., , and . Comput. Aided Civ. Infrastructure Eng., 37 (11): 1387-1401 (2022)Fine-grained crack segmentation for high-resolution images via a multiscale cascaded network., and . Comput. Aided Civ. Infrastructure Eng., 39 (4): 575-594 (February 2024)Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering., , , and . CoRR, (2023)Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results., , , and . Comput. Aided Civ. Infrastructure Eng., 38 (17): 2391-2407 (November 2023)Development of an action classification method for construction sites combining pose assessment and object proximity evaluation., and . J. Ambient Intell. Humaniz. Comput., 15 (4): 2255-2267 (April 2024)ViTALnet: Anomaly on Industrial Textured Surfaces With Hybrid Transformer., , , , and . IEEE Trans. Instrum. Meas., (2023)Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections., , , , , , , , and . J. Robotics Mechatronics, 32 (6): 1244-1258 (2020)