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Propagative broad learning for nonparametric modeling of ambient effects on structural health indicators Journal article
Structural Health Monitoring, 2021,Volume: 20,Issue: 4,Page: 1409-1427
Authors:  Sin-Chi Kuok;  Ka-Veng Yuen;  Stephen Roberts;  Mark A. Girolami
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Structural Health Monitoring  Propagative Broad Learning  Nonparametric Modeling  Modal Frequencies  Ambient Conditions  
Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost Journal article
IEEE Transactions on Smart Grid, 2021
Authors:  Huang,Chao;  Zhang,Hongcai;  Song,Yonghua;  Wang,Long;  Ahmad,Tanveer;  Luo,Xiong
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Demand response  Forecasting  industrial micro-grid  Manufacturing  mixed integer nonlinear programming.  multi-energy  Optimization  Optimization methods  Probabilistic logic  Production  Uncertainty  
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives Journal article
Advanced Engineering Informatics, 2021,Volume: 47
Authors:  Ng,Kam K.H.;  Chen,Chun Hsien;  Lee,C. K.M.;  Jiao,Jianxin (Roger);  Yang,Zhi Xin
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Adaptive decision making  Artificial intelligence  Innovative robotic process automation  Intelligent automation  
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  
Prediction for Decision Support During the COVID-19 Pandemic Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 1-13
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Analysis of Co-Relation Between Objective Measurement and Subjective Assessment for Dynamic Comfort of Vehicles Journal article
International Journal of Automotive Technology, 2020,Volume: 21,Issue: 6,Page: 1553-1567
Authors:  Ao,Di;  Wong,Pak Kin;  Huang,Wei;  Mei,Xing Tai;  Cao,Yu Cong;  Zhao,Jing
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Correlation analysis  Dynamic comfort of vehicle  Non-linear polynomial regression  Simple linear regression  
CD-guide: A reinforcement learning based dispatching and charging approach for electric taxicabs Conference paper
Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation Journal article
Knowledge-Based Systems, 2020,Volume: 207
Authors:  Huo,Yujia;  Wong,Derek F.;  Ni,Lionel M.;  Chao,Lidia S.;  Zhang,Jing
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Causal reasoning  Knowledge representation  Learning diagnostics  Relation prediction  
Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans Journal article
Chaos, Solitons and Fractals, 2020,Volume: 140
Authors:  Yan,Tao;  Wong,Pak Kin;  Ren,Hao;  Wang,Huaqiao;  Wang,Jiangtao;  Li,Yang
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Artificial intelligence  Computed tomography  COVID-19 pneumonia  Mutile-scale convolutional neural network  
A robust surrogate model of a solid oxide cell based on an adaptive polynomial approximation method Journal article
International Journal of Hydrogen Energy, 2020,Volume: 45,Issue: 58,Page: 32949-32971
Authors:  Yingtian Chi;  Yiwei Qiu;  Jin Lin;  Yonghua Song;  Wenying Li;  Qiang Hu;  Shujun Mu;  Min Liu
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Solid Oxide Cell  Modeling  Adaptive Polynomial Approximation  Experiments  Data-driven