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Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties Journal article
Sun, Xiaocong, Bao, Minglei, Ding, Yi, Hui, Hengyu, Song, Yonghua, Zheng, Chenghang, Gao, Xiang. Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties[J]. Energy, 2024, 296, 130768.
Authors:  Sun, Xiaocong;  Bao, Minglei;  Ding, Yi;  Hui, Hengyu;  Song, Yonghua; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:9.0/8.2 | Submit date：2024/05/16
Carbon Emissions  Integrated Carbon Intensity  Low-carbon Power Systems  Probabilistic Carbon Emission Evaluation  Renewable Energy  Uncertainty Model  
An efficient physics-guided Bayesian framework for predicting ground settlement profile during excavations in clay Journal article
Tang, Cong, He, Shuyu, Zhou, Wanhuan. An efficient physics-guided Bayesian framework for predicting ground settlement profile during excavations in clay[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2024, 16(4), 1411-1424.
Authors:  Tang, Cong;  He, Shuyu;  Zhou, Wanhuan
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:9.4/7.6 | Submit date：2024/05/02
Bayesian Updating  Excavations  Ground Settlement Profile  Simplified Model  Uncertainty  
Liquidity risk and expected returns in China's stock market: A multidimensional liquidity approach Journal article
Liang Dong, Bo Yu, Zhenjiang Qin, Keith S.K. Lam. Liquidity risk and expected returns in China's stock market: A multidimensional liquidity approach[J]. Research in International Business and Finance, 2024, 69, 102247.
Authors:  Liang Dong;  Bo Yu;  Zhenjiang Qin;  Keith S.K. Lam
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.3/5.8 | Submit date：2022/07/27
China’s Stock Market  Market Uncertainty  Flight-to-liquidity  Liquidity Factor Model  Asymptotic Principal Component  Multidimensional Liquidity Measure  
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  
Probabilistic Forecasting-Based Reserve Determination Considering Multi-Temporal Uncertainty of Renewable Energy Generation Journal article
Xu, Yuqi, Wan, Can, Liu, Hui, Zhao, Changfei, Song, Yonghua. Probabilistic Forecasting-Based Reserve Determination Considering Multi-Temporal Uncertainty of Renewable Energy Generation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1019-1031.
Authors:  Xu, Yuqi;  Wan, Can;  Liu, Hui;  Zhao, Changfei;  Song, Yonghua
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:6.5/7.4 | Submit date：2024/02/22
Itã'-process Model  Multi-temporal Uncertainty  Probabilistic Forecasting  Ramp Capability Reserve  Regulating Reserve  Reserve Determination  
Observer-based fuzzy tracking control for an unmanned aerial vehicle with communication constraints Journal article
Kong, Linghuan, Liu, Zhijie, Zhao, Zhijia, Lam, Hak Keung. Observer-based fuzzy tracking control for an unmanned aerial vehicle with communication constraints[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(6), 3368-3380.
Authors:  Kong, Linghuan;  Liu, Zhijie;  Zhao, Zhijia;  Lam, Hak Keung
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:10.7/9.7 | Submit date：2024/05/16
Autonomous Aerial Vehicles  Disturbance Observers  Event-triggered Control  Fuzzy Logic Systems  Model Uncertainty  Quadrotors  Target Tracking  Trajectory  Trajectory Tracking  Uncertainty  Underactuated Autonomous Aerial Vehicles  Vectors  
Emergent learning about measurement and uncertainty in an inquiry context: A case from an elementary classroom Journal article
Tang, Xiaowei, Shu, Gang, Wei, Bing, Levin, Daniel. Emergent learning about measurement and uncertainty in an inquiry context: A case from an elementary classroom[J]. Science Education, 2024, 108(1), 308-331.
Authors:  Tang, Xiaowei;  Shu, Gang;  Wei, Bing;  Levin, Daniel
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.1/5.0 | Submit date：2024/03/12
Context-dependent  Measurement  Model-based  Uncertainty  
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  
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  
Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation Journal article
Mo, Jiang, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation[J]. Mechanical Systems and Signal Processing, 2023, 188, 110040.
Authors:  Mo, Jiang;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:7.9/8.0 | Submit date：2023/02/28
Finite Element Model Updating  Hdmr  Interval Arithmetic  Non-probabilistic Uncertainty  Polynomial Approximation