English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 214 Help

Selected(0)Clear Items/Page:    Sort:
Two-stage Bayesian inference for rail model updating and crack detection with ultrasonic guided wave measurements and advanced wave propagation simulation Journal article
Zhan, Jiang Zheng, Yan, Wang Ji, Wu, Wen, Yuen, Ka Veng, Chronopoulos, Dimitrios. Two-stage Bayesian inference for rail model updating and crack detection with ultrasonic guided wave measurements and advanced wave propagation simulation[J]. Journal of Sound and Vibration, 2025, 599.
Authors:  Zhan, Jiang Zheng;  Yan, Wang Ji;  Wu, Wen;  Yuen, Ka Veng;  Chronopoulos, Dimitrios
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.3 | Submit date：2025/01/22
Model Updating  Crack Identification  Ultrasonic Guided Waves (Ugws)  Bayesian Inference  Rail Structure  
Generative adversarial network-based ultrasonic full waveform inversion for high-density polyethylene structures Journal article
Xiao, Zhifei, Rao, Jing, Eisenträger, Sascha, Yuen, Ka Veng, Hadigheh, S. Ali. Generative adversarial network-based ultrasonic full waveform inversion for high-density polyethylene structures[J]. Mechanical Systems and Signal Processing, 2025, 224, 112160.
Authors:  Xiao, Zhifei;  Rao, Jing;  Eisenträger, Sascha;  Yuen, Ka Veng;  Hadigheh, S. Ali
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.9/8.0 | Submit date：2025/01/22
Ultrasonic Quantitative Detection  Unsupervised Learning  Generative Adversarial Network  Highly Attenuating Materials  Full Waveform Inversion  
Clustering driven incremental learning surrogate model-assisted evolution for structural condition assessment Journal article
Ding, Zhenghao, Kuok, Sin Chi, Lei, Yongzhi, Li, Yifei, Yu, Yang, Zhang, Guangcai, Hu, Shuling, Yuen, Ka Veng. Clustering driven incremental learning surrogate model-assisted evolution for structural condition assessment[J]. Mechanical Systems and Signal Processing, 2025, 224, 112146.
Authors:  Ding, Zhenghao;  Kuok, Sin Chi;  Lei, Yongzhi;  Li, Yifei;  Yu, Yang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.9/8.0 | Submit date：2025/01/22
Kriging Model  Modal Data  Online Learning  Structural Condition Assessment  Surrogate Model  
Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel Journal article
Mo, Jiang, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel[J]. Computer Methods in Applied Mechanics and Engineering, 2025, 433, 117490.
Authors:  Mo, Jiang;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.7 | Submit date：2025/01/22
Model Updating  Non-probabilistic Uncertainty  Correlation Propagation  Neural Network  Derivative-aware Metamodel  Block Coordinate Descent  
Real-time Bayesian axle load estimation and structural identification of railway bridges under train loads based on strain monitoring Journal article
Guo, Hou Zuo, Yuen, Ka Veng, Mu, He Qing. Real-time Bayesian axle load estimation and structural identification of railway bridges under train loads based on strain monitoring[J]. Engineering Structures, 2025, 322(B), 119195.
Authors:  Guo, Hou Zuo;  Yuen, Ka Veng;  Mu, He Qing
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/5.8 | Submit date：2025/01/22
Bayesian Estimation  Railway Bridge Weigh-in-motion  Extended Kalman Filter  Structural Identification  
A novel Bayesian framework for time-domain operational multi-setup modal analysis: Theory and parallelization Journal article
Yin, Tao, Yuen, Ka Veng, Zhu, Hong Ping. A novel Bayesian framework for time-domain operational multi-setup modal analysis: Theory and parallelization[J]. Engineering Structures, 2025, 322(B), 119167.
Authors:  Yin, Tao;  Yuen, Ka Veng;  Zhu, Hong Ping
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/5.8 | Submit date：2025/01/22
Operational Modal Analysis  Time Domain  Multiple Measurement Setup  Setup Parallelism  Bayesian Inference  
A graph attention reasoning model for prefabricated component detection Journal article
Zhou, Manxu, Ye, Guanting, Yuen, Ka Veng, Yu, Wenhao, Jin, Qiang. A graph attention reasoning model for prefabricated component detection[J]. Computer-Aided Civil and Infrastructure Engineering, 2025.
Authors:  Zhou, Manxu;  Ye, Guanting;  Yuen, Ka Veng;  Yu, Wenhao;  Jin, Qiang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.5/10.8 | Submit date：2025/01/22
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function Journal article
Mei, Ling Feng, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function[J]. Mechanical Systems and Signal Processing, 2025, 222, 111767.
Authors:  Mei, Ling Feng;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.9/8.0 | Submit date：2024/08/30
Damage Detection  Bayesian Nonparametric Model  Truncation-free Full Dirichlet Process Gaussian Mixture Model  Streaming Variational Inference  
Evaluation method for uniformity of steel slag concrete aggregate based on improved YOLOv8 Journal article
Ye, Guanting, Yuen, Ka Veng, Jin, Qiang, Zhou, Manxu, Yin, Chao, Jiang, Qing, Zhao, Shangjun, Su, Wanzhong. Evaluation method for uniformity of steel slag concrete aggregate based on improved YOLOv8[J]. Journal of Building Engineering, 2024, 98, 111046.
Authors:  Ye, Guanting;  Yuen, Ka Veng;  Jin, Qiang;  Zhou, Manxu;  Yin, Chao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.7/6.8 | Submit date：2024/11/05
Aggregate Segmentation  Instance Segmentation  Steel Slag Concrete  Uniformity Evaluation  Yolov8  
Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification Journal article
Kuok, Sin Chi, Yuen, Ka Veng, Dodwell, Tim, Girolami, Mark. Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification[J]. Knowledge-Based Systems, 2024, 301, 112272.
Authors:  Kuok, Sin Chi;  Yuen, Ka Veng;  Dodwell, Tim;  Girolami, Mark
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.2/7.4 | Submit date：2024/08/05
Bayesian Inference  Broad Bayesian Learning  Imputation  Missing Data  Uncertainty Quantification