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Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization Journal article
Ji, Bohua, Kuok, Sin Chi, Hao, Tianwei. Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization[J]. Water Research, 2024, 266, 122344.
Authors:  Ji, Bohua;  Kuok, Sin Chi;  Hao, Tianwei
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:11.4/12.2 | Submit date：2024/09/03
Anammox Optimization  Bayesian Inference  Input Power  Mixing Intensity  Velocity Field  
Bayesian sparse grid (BSG) approach for information salvage in reliability assessment of deteriorating structures Journal article
Li, Long, Xu, Jun, Kuok, Sin Chi. Bayesian sparse grid (BSG) approach for information salvage in reliability assessment of deteriorating structures[J]. Reliability Engineering and System Safety, 2024, 251, 110329.
Authors:  Li, Long;  Xu, Jun;  Kuok, Sin Chi
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.4/8.1 | Submit date：2024/08/05
Bayesian Inference  Deteriorating Structures  Information Salvage  Sparse Grid  Time-varying Reliability  
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]:0 TC[Scopus]:1  IF:7.2/7.4 | Submit date：2024/08/05
Bayesian Inference  Broad Bayesian Learning  Imputation  Missing Data  Uncertainty Quantification  
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, 2024, 222.
Authors:  Mei, Ling Feng;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/08/30
Bayesian Nonparametric Model  Damage Detection  Streaming Variational Inference  Truncation-free Full Dirichlet Process Gaussian Mixture Model  
Dual low-rank structure embedding for robust visual information processing Journal article
Zhou, Jianhang, Zhang, Hengmin, Li, Shuyi, Zhang, Bob, Fang, Leyuan, Zhang, David. Dual low-rank structure embedding for robust visual information processing[J]. Knowledge-Based Systems, 2024, 296, 111821.
Authors:  Zhou, Jianhang;  Zhang, Hengmin;  Li, Shuyi;  Zhang, Bob;  Fang, Leyuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2024/05/16
Low Rank  Structure Embedding  Bayesian Inference  Visual Information Processing  
PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model Journal article
Yan, Wang Ji, Zhan, Jiang Zheng, Yuen, Ka Veng, Ren, Wei Xin, Papadimitriou, Costas. PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model[J]. Engineering Structures, 2024, 318, 118578.
Authors:  Yan, Wang Ji;  Zhan, Jiang Zheng;  Yuen, Ka Veng;  Ren, Wei Xin;  Papadimitriou, Costas
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/5.8 | Submit date：2024/08/30
Bayesian Inference  High-speed Railway  Metamodel  Model Updating  Vehicle-track Coupling Dynamical System  
Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response Journal article
Feng, Zhouquan, Zhang, Jiren, Xuan, Xinyan, Wang, Yafei, Hua, Xugang, Chen, Zhengqing, Yan, Wangji. Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response[J]. Engineering Structures, 2024, 315, 118477.
Authors:  Feng, Zhouquan;  Zhang, Jiren;  Xuan, Xinyan;  Wang, Yafei;  Hua, Xugang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/5.8 | Submit date：2024/08/05
Bayesian Inference  Damping Ratios  Free Vibration  Modal Identification  Stay Cables  Time Domain  Uncertainty Quantification  
Robust wireless sensor network configuration design for structural health monitoring with optimal information-energy tradeoff Journal article
Hao, Xiao Han, Kuok, Sin Chi, Yuen, Ka Veng. Robust wireless sensor network configuration design for structural health monitoring with optimal information-energy tradeoff[J]. Smart Structures and Systems, 2024, 33(6), 465-482.
Authors:  Hao, Xiao Han;  Kuok, Sin Chi;  Yuen, Ka Veng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.1/2.8 | Submit date：2024/10/10
Bayesian Inference  Energy Efficiency  Multi-type Sensing Devices  Parameter Identification  Robust Wireless Sensor Network  Sensor Failure  
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  
Understanding the impact of numerical solvers on inference for differential equation models Journal article
Creswell, Richard, Shepherd, Katherine M., Lambert, Ben, Mirams, Gary R., Lei, Chon Lok, Tavener, Simon, Robinson, Martin, Gavaghan, David J.. Understanding the impact of numerical solvers on inference for differential equation models[J]. Journal of the Royal Society Interface, 2024, 21(212), 20230369.
Authors:  Creswell, Richard;  Shepherd, Katherine M.;  Lambert, Ben;  Mirams, Gary R.;  Lei, Chon Lok; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.7/4.0 | Submit date：2024/04/02
Bayesian Statistics  Compartmental Models  Hydrological Modelling  Inference  Ordinary Differential Equations  Truncation Error