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The state of the art of data science and engineering in structural health monitoring
Y Bao, Z Chen, S Wei, Y Xu, Z Tang, H Li
Engineering 5 (2), 234-242, 2019
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
Y Xu, Y Bao, J Chen, W Zuo, H Li
Structural Health Monitoring 18 (3), 653-674, 2019
Automatic seismic damage identification of reinforced concrete columns from images by a region‐based deep convolutional neural network
Y Xu, S Wei, Y Bao, H Li
Structural Control and Health Monitoring 26 (3), e2313, 2019
Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer‐grade camera images
Y Xu, S Li, D Zhang, Y Jin, F Zhang, N Li, H Li
Structural Control and Health Monitoring 25 (2), e2075, 2018
Uniform and pitting corrosion modeling for high-strength bridge wires
S Li, Y Xu, H Li, X Guan
Journal of Bridge Engineering 19 (7), 04014025, 2014
Fatigue life prediction for parallel-wire stay cables considering corrosion effects
C Lan, Y Xu, C Liu, H Li, BF Spencer Jr
International Journal of Fatigue 114, 81-91, 2018
Dense construction vehicle detection based on orientation-aware feature fusion convolutional neural network
Y Guo, Y Xu, S Li
Automation in Construction 112, 103124, 2020
Probabilistic deterioration model of high-strength steel wires and its application to bridge cables
S Li, Y Xu, S Zhu, X Guan, Y Bao
Structure and Infrastructure Engineering 11 (9), 1240-1249, 2015
The 1st international project competition for structural health monitoring (IPC-SHM, 2020): A summary and benchmark problem
Y Bao, J Li, T Nagayama, Y Xu, BF Spencer Jr, H Li
Structural Health Monitoring 20 (4), 2229-2239, 2021
Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer
Y Xu, Y Bao, Y Zhang, H Li
Structural Health Monitoring 20 (4), 1494-1517, 2021
3-D modelling and statistical properties of surface pits of corroded wire based on image processing technique
Y Xu, H Li, S Li, X Guan, C Lan
Corrosion Science 111, 275-287, 2016
A self-sparse generative adversarial network for autonomous early-stage design of architectural sketches
W Qian, Y Xu, H Li
Computer-aided Civil and Infrastructure Engineering 37 (5), 612-628, 2022
Deep learning-based pixel-level rock fragment recognition during tunnel excavation using instance segmentation model
W Qiao, Y Zhao, Y Xu, Y Lei, Y Wang, S Yu, H Li
Tunnelling and Underground Space Technology 115, 104072, 2021
Relationship modeling between vehicle-induced girder vertical deflection and cable tension by BiLSTM using field monitoring data of a cable-stayed bridge
Y Tian, Y Xu, D Zhang, H Li
Structural Control and Health Monitoring 28 (2), e2667, 2021
A two-stage seismic damage assessment method for small, dense, and imbalanced buildings in remote sensing images
Y Wang, L Cui, C Zhang, W Chen, Y Xu, Q Zhang
Remote Sensing 14 (4), 1012, 2022
Computer vision-based recognition of rainwater rivulet morphology evolution during rain–wind-induced vibration of a 3D aeroelastic stay cable
P Cheng, WJ Li, WL Chen, DL Gao, Y Xu, H Li
Journal of Wind Engineering and Industrial Aerodynamics 172, 367-378, 2018
Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion
J Chen, Z Chen, Y Xu, H Li
Reliability Engineering & System Safety 214, 107737, 2021
Structure‐PoseNet for identification of dense dynamic displacement and three‐dimensional poses of structures using a monocular camera
J Zhao, F Hu, Y Xu, W Zuo, J Zhong, H Li
Computer‐Aided Civil and Infrastructure Engineering 37 (6), 704-725, 2022
Typical advances of artificial intelligence in civil engineering
Y Xu, W Qian, N Li, H Li
Advances in Structural Engineering 25 (16), 3405-3424, 2022
A modified U-net for crack segmentation by Self-Attention-Self-Adaption neuron and random elastic deformation
J Zhao, F Hu, W Qiao, W Zhai, Y Xu, Y Bao, H Li
Smart Structures and Systems 29 (1), 1-16, 2022
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