no code implementations • 15 Oct 2021 • Ryan Jacobs, Mingren Shen, YuHan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan
In this work, we perform semantic segmentation of multiple defect types in electron microscopy images of irradiated FeCrAl alloys using a deep learning Mask Regional Convolutional Neural Network (Mask R-CNN) model.
no code implementations • 21 Dec 2018 • Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dongsheng Cao, Defang Ouyang
Conclusions: The integrated transfer learning and multitask learning approach with the improved dataset splitting algorithm was firstly introduced to predict the pharmacokinetic parameters.
no code implementations • 6 Sep 2018 • Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang
In summary, deep learning with the automatic data splitting algorithm and the evaluation criteria suitable for pharmaceutical formulation data was firstly developed for the prediction of pharmaceutical formulations.
no code implementations • 14 Mar 2018 • Run Han, Yilong Yang, Xiaoshan Li, Defang Ouyang
ANN and DNN were compared for the prediction of the disintegrating time.