Dr Yan Gao

Gao, Y., Li, H. and Fu, W. 2023. Few-shot learning for image-based bridge damage detection. Engineering Applications of Artificial Intelligence 126(PartC), article number: 107078. (10.1016/j.engappai.2023.107078)
Gao, Y., Chai, C., Li, H. and Fu, W. 2023. A deep learning framework for intelligent fault diagnosis using AutoML-CNN and image-like data fusion. Machines (10.3390/machines11100932)
Gao, Y. 2023. Data and informatics-informed digital twins for smart and practical bridge maintenance. PhD Thesis, Cardiff University.
Gao, Y., Li, H., Xiong, G. and Song, H. 2023. AIoT-informed digital twin communication for bridge maintenance. Automation in Construction 150, article number: 104835. (10.1016/j.autcon.2023.104835)
Gao, Y., Li, H., Fu, W. and Xiong, G. 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.

Gao, Y., Li, H. and Xiong, G. 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.

Gao, Y., Li, H., Fu, W. and Xiong, G. 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.
Gao, Y., Li, H. and Xiong, G. 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.

Publication