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The contribution of typhoon local and remote forcings to storm surge along the Makou-Dahengqin tidal reach of Pearl River Estuary Journal article
Kai Fei, Haoxuan Du, Liang Gao. The contribution of typhoon local and remote forcings to storm surge along the Makou-Dahengqin tidal reach of Pearl River Estuary[J]. Science of the Total Environment, 2023, 899, 165592.
Authors:  Kai Fei;  Haoxuan Du;  Liang Gao
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:8.2/8.6 | Submit date：2023/08/03
Machine Learning Methods  Numerical Modeling  Relative Contribution  Storm Surge  Typhoon  Upstream Discharge  
Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases Book
Chang, Victor, Kaur, Harleen, Fong, Simon. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases[M]. Switzerland:Springer, 2022.
Authors:  Chang, Victor;  Kaur, Harleen;  Fong, Simon
Favorite |  | Submit date：2022/08/31
Artificial Intelligence  Machine Learning  Intelligence Methods  Vision Intelligence  Coronavirus  Covid-19  Computational Intelligence  
The prediction of protein–ligand unbinding for modern drug discovery Journal article
Zhang, Qianqian, Zhao, Nannan, Meng, Xiaoxiao, Yu, Fansen, Yao, Xiaojun, Liu, Huanxiang. The prediction of protein–ligand unbinding for modern drug discovery[J]. Expert Opinion on Drug Discovery, 2021, 17(2), 191-205.
Authors:  Zhang, Qianqian;  Zhao, Nannan;  Meng, Xiaoxiao;  Yu, Fansen;  Yao, Xiaojun; et al.
Favorite | TC[WOS]:11 TC[Scopus]:13  IF:6.0/6.6 | Submit date：2023/01/30
Binding Free Energy  Dissociation Rate Constant  Enhanced Sampling Methods  Machine Learning  Molecular Dynamic Simulation  Protein–ligand Unbinding  Residence Time  Unbinding Pathways  
Interpretable machine learning methods for in vitro pharmaceutical formulation development Journal article
Ye, Zhuyifan, Yang, Wenmian, Yang, Yilong, Ouyang, Defang. Interpretable machine learning methods for in vitro pharmaceutical formulation development[J]. Food Frontiers, 2021, 2(2), 195-207.
Authors:  Ye, Zhuyifan;  Yang, Wenmian;  Yang, Yilong;  Ouyang, Defang
Favorite | TC[WOS]:10 TC[Scopus]:17 | Submit date：2022/05/13
Deep Neural Networks  Formulation Design  Interpretable Machine Learning Methods  The Attention Mechanism