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Analytical Bayesian Copula-Based Uncertainty Quantification (A-BASIC-UQ) Using Data with Missing Values in Structural Health Monitoring Journal article
Yuen, Ka Veng, Zhao, Zi Tong, Mu, He Qing, Shao, Wei. Analytical Bayesian Copula-Based Uncertainty Quantification (A-BASIC-UQ) Using Data with Missing Values in Structural Health Monitoring[J]. Structural Control and Health Monitoring, 2024, 2024, 5410581.
Authors:  Yuen, Ka Veng;  Zhao, Zi Tong;  Mu, He Qing;  Shao, Wei
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.5 | Submit date：2024/08/05
Probability density function modelling and credible region construction for multivariate, asymmetric, and multimodal distributions of geotechnical data Journal article
Zhao, Zi Tong, Mu, He Qing, Yuen, Ka Veng. Probability density function modelling and credible region construction for multivariate, asymmetric, and multimodal distributions of geotechnical data[J]. Structural Safety, 2024, 107, 102429.
Authors:  Zhao, Zi Tong;  Mu, He Qing;  Yuen, Ka Veng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.7/5.9 | Submit date：2024/04/02
Asymmetric Distribution  Bayesian Inference  Copula  Credible Region  Multimodal Distribution  Multivariate Distribution  
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H Journal article
Mu, He Qing, Zhao, Zi Tong, Yuen, Ka Veng. Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H[J]. Georisk, 2024, 18(1), 85-106.
Authors:  Mu, He Qing;  Zhao, Zi Tong;  Yuen, Ka Veng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.5/4.8 | Submit date：2024/05/16
Asymmetric And Multimodal Distribution  Bayesian Inference  Copula Theory  Credible Region  Missing Values  Multivariate Distribution  
Bayesian Vehicle Load Estimation, Vehicle Position Tracking, and Structural Identification for Bridges with Strain Measurement Journal article
Yuen, Ka Veng, Guo, Hou Zuo, Mu, He Qing. Bayesian Vehicle Load Estimation, Vehicle Position Tracking, and Structural Identification for Bridges with Strain Measurement[J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2023, 2023, 4752776.
Authors:  Yuen, Ka Veng;  Guo, Hou Zuo;  Mu, He Qing
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:4.6/5.5 | Submit date：2024/02/22
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  
Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction Journal article
He-Qing Mu, Ka-Veng Yuen. Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction[J]. MEASUREMENT, 2018, 130, 384-397.
Authors:  He-Qing Mu;  Ka-Veng Yuen
Favorite | TC[WOS]:40 TC[Scopus]:43  IF:5.2/4.8 | Submit date：2018/10/30
Bayesian Inference  Environmental Conditions  Sparse Feature Selection  Modal Analysis  Structural Health Monitoring  
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  
Modal frequency-ambient condition pattern recognition by a novel machine learning algorithm Conference paper
He-Qing Mu, Ka-Veng Yuen, Sin-Chi Kuok. Modal frequency-ambient condition pattern recognition by a novel machine learning algorithm[C], 2017, 1013-1018.
Authors:  He-Qing Mu;  Ka-Veng Yuen;  Sin-Chi Kuok
Favorite |  | Submit date：2019/02/12
Relevance feature selection of modal frequency-ambient condition pattern recognition in structural health assessment for reinforced concrete buildings Journal article
He-Qing Mu, Ka-Veng Yuen, Sin-Chi Kuok. Relevance feature selection of modal frequency-ambient condition pattern recognition in structural health assessment for reinforced concrete buildings[J]. Advances in Mechanical Engineering, 2016, 8(8), 1-12.
Authors:  He-Qing Mu;  Ka-Veng Yuen;  Sin-Chi Kuok
Favorite | TC[WOS]:17 TC[Scopus]:18 | Submit date：2019/02/12
Bayesian Inference  Feature Selection  Maximum Likelihood  Model Class Selection  Structural Health Monitoring  
Ground Motion Prediction Equation Development by Heterogeneous Bayesian Learning Journal article
He-Qing Mu, Ka-Veng Yuen. Ground Motion Prediction Equation Development by Heterogeneous Bayesian Learning[J]. Computer-Aided Civil and Infrastructure Engineering, 2016, 31(10), 761-776.
Authors:  He-Qing Mu;  Ka-Veng Yuen
Favorite | TC[WOS]:53 TC[Scopus]:57 | Submit date：2019/02/12