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Number of items: 7.

Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133, Fu, Weiqi, Chai, Chengzhang and Su, Tengxiang 2024. Damage volumetric assessment and digital twin synchronization based on LiDAR point clouds. Automation in Construction 157 , 105168. 10.1016/j.autcon.2023.105168
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Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 and Fu, Weiqi 2023. Few-shot learning for image-based bridge damage detection. Engineering Applications of Artificial Intelligence 126 (PartC) , 107078. 10.1016/j.engappai.2023.107078
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Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Chai, Chengzhang, Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 and Fu, Weiqi 2023. A deep learning framework for intelligent fault diagnosis using AutoML-CNN and image-like data fusion. Machines 10.3390/machines11100932
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Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717 2023. Data and informatics-informed digital twins for smart and practical bridge maintenance. PhD Thesis, Cardiff University.
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Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133, Xiong, Guanyu and Song, Honghong 2023. AIoT-informed digital twin communication for bridge maintenance. Automation in Construction 150 , 104835. 10.1016/j.autcon.2023.104835
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Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133, Fu, Weiqi and Xiong, Guanyu 2023. Few-shot classification for image-based crack detection. Presented at: The 30th EG-ICE: International Conference on Intelligent Computing in Engineering, London, UK, 4-7 July 2023.
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Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 and Xiong, Guanyu 2022. An efficient and resilient digital-twin communication framework for smart bridge structural survey and maintenance. Presented at: 29th EG-ICE International Workshop on Intelligent Computing in Engineering 2022, Aarhus, Denmark, 06-08 July 2022.
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