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An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design Journal article
European Journal of Pharmaceutics and Biopharmaceutics, 2021,Volume: 158,Page: 336-346
Authors:  Gao,Hanlu;  Wang,Wei;  Dong,Jie;  Ye,Zhuyifan;  Ouyang,Defang
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Dissolution profile  Machine learning  molecular dynamics (MD) simulations  Pharmacokinetic modeling  Solid dispersion  
Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 55-68
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 69-87
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
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Forecasting  machine learning  mixed integer linear programming  Operating reserve  prediction interval  probabilistic forecasting  Probabilistic logic  Stochastic processes  Uncertainty  Upper bound  Wind forecasting  wind power  Wind power generation  
Prediction for Decision Support During the COVID-19 Pandemic Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 1-13
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Sparse scattered high performance computing data driven artificial neural networks for multi-dimensional optimization of buoyancy driven heat and mass transfer in porous structures Journal article
Chemical Engineering Journal, 2020,Volume: 397
Authors:  Su,Yan;  Ng,Tiniao;  Li,Zhigang;  Davidson,Jane H.
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Artificial neural network  Controllable structure generation scheme  High performance computing  Objective function  Parallel non-dimensional lattice Boltzmann method  
A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements Journal article
Mechanical Systems and Signal Processing, 2020,Volume: 143
Authors:  Yan,Wang Ji;  Chronopoulos,Dimitrios;  Cantero-Chinchilla,Sergio;  Yuen,Ka Veng;  Papadimitriou,Costas
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Bayesian analysis  Composite structure  Metamodeling  Ultrasonic guided waves  Uncertainty quantification  Wave and finite element  
A new probabilistic frequency-domain approach for influence line extraction from static transmissibility measurements under unknown moving loads Journal article
Engineering Structures, 2020,Volume: 216
Authors:  Yan,Wang Ji;  Yuen,Ka Veng
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Bayesian analysis  Bridge  Influence line  Moving loads  Structural health monitoring  Transmissibility  
Optimal Nonparametric Prediction Intervals of Electricity Load Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 3,Page: 2467-2470
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua;  Cao,Zhaojing
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Binary Variable Reduction  Load Forecasting  Machine Learning  Mixed Integer Programming  Prediction Interval  
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network Journal article
Knowledge-Based Systems, 2020,Volume: 192
Authors:  Fong,Iat Hang;  Li,Tengyue;  Fong,Simon;  Wong,Raymond K.;  Tallón-Ballesteros,Antonio J.
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Airborne particle matter  Environment monitoring  Forecasting  Recurrent neural network  Transfer learning