English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 26 Help

Selected(0)Clear Items/Page:    Sort:
A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wang Ji. A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes[J]. Mechanical Systems and Signal Processing, 2024, 208, 110968.
Authors:  Ping, Menghao;  Jia, Xinyu;  Papadimitriou, Costas;  Han, Xu;  Jiang, Chao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/02/22
Hierarchical Bayesian Modeling Framework  Improved Orthogonal Series Expansion  Model Class Selection  Non-gaussian Pdf Estimation  Non-gaussian Process  Polynomial Chaos Expansion  
Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling Journal article
Kuok, Sin Chi, Yuen, Ka Veng. Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling[J]. Computer Methods in Applied Mechanics and Engineering, 2023, 419, 116680.
Authors:  Kuok, Sin Chi;  Yuen, Ka Veng
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:6.9/6.7 | Submit date：2024/02/22
Bayesian Inference  Data-driven Modeling  Model Class Selection  Physical-inspired Modeling  Synergistic Metamodeling  Uncertainty Quantification  
Bayesian Real-Time System Identification: From Centralized to Distributed Approach Book
Huang, Ke, Yuen, Ka Veng. Bayesian Real-Time System Identification: From Centralized to Distributed Approach[M]. Singapore:Springer, 2023, 276.
Authors:  Huang, Ke;  Yuen, Ka Veng
Favorite | TC[Scopus]:3 | Submit date：2024/01/10
Bayesian Inference  Centralized Identification  Distributed Identification  Model Class Selection  Parameter Estimation  Real-time System Identification  Structural Health Monitoring  
A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wangji. A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification[J]. Mechanical Systems and Signal Processing, 2023, 187, 109933.
Authors:  Ping, Menghao;  Jia, Xinyu;  Papadimitriou, Costas;  Han, Xu;  Jiang, Chao; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:7.9/8.0 | Submit date：2023/04/03
Hierarchical Bayesian Framework  Gaussian Processes Or Fields  Improved Orthogonal Series Expansion  Model Class Selection  Structural Dynamics  
Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation Journal article
Ka-Veng Yuen, Wen-Jing Zhang, Wang-Ji Yan. Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation[J]. Advanced Engineering Informatics, 2022, 55, 101859.
Authors:  Ka-Veng Yuen;  Wen-Jing Zhang;  Wang-Ji Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.0/8.2 | Submit date：2023/02/08
Adaptive Bandwidth  General Regression  Model Class Selection  Seismic Attenuation  Sparse Data  Variable Selection  
A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information Journal article
Mu, He Qing, Shen, Ji Hui, Zhao, Zi Tong, Liu, Han Teng, Yuen, Ka Veng. A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information[J]. Engineering Structures, 2022, 252(113571).
Authors:  Mu, He Qing;  Shen, Ji Hui;  Zhao, Zi Tong;  Liu, Han Teng;  Yuen, Ka Veng
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:5.6/5.8 | Submit date：2022/03/04
Bayesian Inference  Copula  Model Class Selection  Multivariate Probability Density Function  Structural Health Monitoring  
Bayesian Rayleigh wave inversion with an unknown number of layers Journal article
Yuen, Ka-Veng, Yang, Xiao-Hui. Bayesian Rayleigh wave inversion with an unknown number of layers[J]. Earthquake Engineering and Engineering Vibration, 2020, 19(4), 875-886.
Authors:  Yuen, Ka-Veng;  Yang, Xiao-Hui
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:2.6/2.6 | Submit date：2021/03/09
Bayesian Model Class Selection  Generalized R/t Coefficients Algorithm  Genetic Algorithm  Inversion Of Rayleigh Wave  Number Of Layers  
Model updating and uncertainty analysis for creep behavior of soft soil Journal article
Wan-Huan Zhou, Fang Tan, Ka-Veng Yuen. Model updating and uncertainty analysis for creep behavior of soft soil[J]. COMPUTERS AND GEOTECHNICS, 2018, 100, 135-143.
Authors:  Wan-Huan Zhou;  Fang Tan;  Ka-Veng Yuen
Favorite | TC[WOS]:51 TC[Scopus]:60  IF:5.3/5.7 | Submit date：2018/10/30
Bayesian Model Class Selection  Creep  Elastic Viscoplastic Models  Tmcmc Method  Uncertainty Evaluation  
Hydrostatic-season-time model updating using Bayesian model class selection Journal article
Sonja Gamse, Wan-Huan Zhou, Fang Tan, Ka-Veng Yuen, Michael Oberguggenberger. Hydrostatic-season-time model updating using Bayesian model class selection[J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 169, 40-50.
Authors:  Sonja Gamse;  Wan-Huan Zhou;  Fang Tan;  Ka-Veng Yuen;  Michael Oberguggenberger
Favorite | TC[WOS]:37 TC[Scopus]:43  IF:9.4/8.1 | Submit date：2018/10/30
Bayesian Model Class Selection  Geodetic Observations  Hydrostatic-season-time Model  Model Class Selection  Multiple Linear Regression  Rock-fill Embankment Dam  
Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition Journal article
He-Qing Mu, Ka-Veng Yuen. Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition[J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2017, 31(5).
Authors:  He-Qing Mu;  Ka-Veng Yuen
Favorite | TC[WOS]:17 TC[Scopus]:17  IF:4.7/5.5 | Submit date：2018/10/30
Bayesian Learning  Strong Ground Motion  Maximum Likelihood  Model Class Selection  Uncertainty Quantification