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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  
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  
Quantification of urinary podocyte-derived migrasomes for the diagnosis of kidney disease Journal article
Yang, Rong, Zhang, Heng, Chen, Si, Lou, Kaibin, Zhou, Meng, Zhang, Mingchao, Lu, Rui, Zheng, Chunxia, Li, Limin, Chen, Qihan, Liu, Zhihong, Zen, Ke, Yuan, Yanggang, Liang, Hongwei. Quantification of urinary podocyte-derived migrasomes for the diagnosis of kidney disease[J]. Journal of Extracellular Vesicles, 2024, 13(6), e12460.
Authors:  Yang, Rong;  Zhang, Heng;  Chen, Si;  Lou, Kaibin;  Zhou, Meng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:15.5/19.6 | Submit date：2024/07/04
Diagnosis  Kidney Disease  Migrasomes  Podocyte  Quantification  Urinary  
Rule by Metrics Performance, Quantification, and the Law Journal article
Infantino, Marta, Bussani, Mauro. Rule by Metrics Performance, Quantification, and the Law[J]. European Journal of Comparative Law and Governance, 2024, 11(2), 187-237.
Authors:  Infantino, Marta;  Bussani, Mauro
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0.2/0 | Submit date：2024/07/04
Algorithmic Law  Comparative Law  Global Indicators  Law & Economics  Legal Metrics  New Public Management  Nudging  Quantification Of Performances  Regulation  
Physics-Informed Neural Networks for Settlement Analysis of the Immersed Tunnel of the Hong Kong-Zhuhai-Macau Bridge Journal article
He, Shu Yu, Zhou, Wan Huan, Tang, Cong. Physics-Informed Neural Networks for Settlement Analysis of the Immersed Tunnel of the Hong Kong-Zhuhai-Macau Bridge[J]. International Journal of Geomechanics, 2024, 24(1), 04023241.
Authors:  He, Shu Yu;  Zhou, Wan Huan;  Tang, Cong
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:3.3/3.5 | Submit date：2024/02/22
Foundation Modulus  Multibeam Model  Physics-informed Neural Networks  Settlement  Uncertainty Quantification  
Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics Journal article
Shuttleworth, Joseph G., Lei, Chon Lok, Whittaker, Dominic G., Windley, Monique J., Hill, Adam P., Preston, Simon P., Mirams, Gary R.. Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics[J]. Bulletin of Mathematical Biology, 2024, 86(1), 2.
Authors:  Shuttleworth, Joseph G.;  Lei, Chon Lok;  Whittaker, Dominic G.;  Windley, Monique J.;  Hill, Adam P.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:2.0/2.1 | Submit date：2024/02/22
Discrepancy  Experimental Design  Ion Channel  Mathematical Model  Misspecification  Uncertainty Quantification  
Machine Learning-Based Probabilistic Forecasting of Wind Power Generation: A Combined Bootstrap and Cumulant Method Journal article
Wan, Can, Cui, Wenkang, Song, Yonghua. Machine Learning-Based Probabilistic Forecasting of Wind Power Generation: A Combined Bootstrap and Cumulant Method[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1370-1383.
Authors:  Wan, Can;  Cui, Wenkang;  Song, Yonghua
Favorite | TC[WOS]:7 TC[Scopus]:10  IF:6.5/7.4 | Submit date：2024/02/22
Bootstrap  Cumulant  Machine Learning  Probabilistic Forecasting  Uncertainty Quantification  Wind Power  
The study of different markers among Chuanxiong Chatiao dosage forms based on bioactive components and antiplatelet aggregation biopotency integrated with chemometrics Journal article
Xiao, Jia jia, Weng, Yu ping, Luo, Long biao, Wang, Jing qi, Lin, Huan zhao, Zhang, Guang mou, Yue, Lin, Yao, Yi xin. The study of different markers among Chuanxiong Chatiao dosage forms based on bioactive components and antiplatelet aggregation biopotency integrated with chemometrics[J]. Arabian Journal of Chemistry, 2024, 17(1), 105421.
Authors:  Xiao, Jia jia;  Weng, Yu ping;  Luo, Long biao;  Wang, Jing qi;  Lin, Huan zhao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.3/5.6 | Submit date：2024/02/22
Antiplatelet Aggregation Biopotency  Bioactive Components  Bioassay  Chuanxiong Chatiao Dosage Forms  Different Markers  Quantification  
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  
An advanced strategy for quality evaluation of Xinyi Biyan Pill by UPLC-DAD fingerprinting combined with multi-components UPLC-MS/MS analysis Journal article
Lu, Yang, He, Zixin, Wang, Qin, Lei, Ting, Ning, Na, Chen, Xinyang, Wu, Xu, Wang, Shengpeng, Wan, Li, Cao, Jiliang. An advanced strategy for quality evaluation of Xinyi Biyan Pill by UPLC-DAD fingerprinting combined with multi-components UPLC-MS/MS analysis[J]. Journal of Pharmaceutical and Biomedical Analysis, 2023, 239, 115858.
Authors:  Lu, Yang;  He, Zixin;  Wang, Qin;  Lei, Ting;  Ning, Na; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.1/3.1 | Submit date：2024/02/22
Chemical Characterization  Chemical Fingerprint  Multi-components Uplc-ms/ms Quantification  Quality Evaluation  Xinyi Biyan Pill