Loading publications…
The last 5 uploaded publications
Structural damage identification by using physics-guided residual neural networks
Ruhua Wang, Jun Li, Ling Li, Senjian An, Bradley Ezard, Qilin Li, Hao Hong (2024). Structural damage identification by using physics-guided residual neural networks. , 318, DOI: https://doi.org/10.1016/j.engstruct.2024.118703.
Article118 days agoStructural damage identification using phase space matrix with convolutional neural networks
Yue Zhong, Jun Li, Hong Hao, Ling Li, Ruhua Wang (2025). Structural damage identification using phase space matrix with convolutional neural networks. , 76, DOI: https://doi.org/10.1016/j.istruc.2025.108885.
Article118 days agoA novel transformer-based semantic segmentation framework for structural condition assessment
Ruhua Wang, Yanda Shao, Qilin Li, Ling Li, Jun Li, Hong Hao (2023). A novel transformer-based semantic segmentation framework for structural condition assessment. , 23(2), DOI: https://doi.org/10.1177/14759217231182303.
Article118 days agoStructural damage quantification using ensemble‐based extremely randomised trees and impulse response functions
Chencho , Jun Li, Hong Hao, Ruhua Wang, Ling Li (2022). Structural damage quantification using ensemble‐based extremely randomised trees and impulse response functions. , 29(10), DOI: https://doi.org/10.1002/stc.3033.
Article118 days agoDeep residual network framework for structural health monitoring
Ruhua Wang, Chencho , Senjian An, Jun Li, Ling Li, Hong Hao, Wanquan Liu (2020). Deep residual network framework for structural health monitoring. , 20(4), DOI: https://doi.org/10.1177/1475921720918378.
Article118 days ago