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Application of Machine Learning to Predict the Response of the Liquid Mercury Target at the Spallation Neutron Source 会议论文
Proceedings of the 12th International Particle Accelerator Conference, Brazil, 2021
Authors:  L. Lin;  S. Gorti;  J.C. Mach;  H. Tran;  D.E. Winder
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Attenuation correction with region growing method used in the positron emission mammography imaging system 期刊论文
CHINESE PHYSICS C, 2015, 卷号: 39, 期号: 10, 页码: 108202
Authors:  Gu XY(顾笑悦);  Li L(李琳);  Yin PF(尹鹏飞);  Yuan MK(贠明凯);  Chai P(柴培);  Huang XC(黄先超);  Sun XL(孙校丽);  Wei L(魏龙);  Xiao-Yue;  G.;  L. Lin;  Y. Peng-Fei;  Y. Ming-Kai;  C. Pei;  H. Xian-Chao;  S. Xiao-Li;  W. Long
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breast PET  attenuation correction  region growing  image segmentation  
Progress of FEL Based on RF Superconducting Accelerator at Peking University   会议论文
APAC 2004 Contributions to the Proceedings, Korea, 2004
Authors:  K. Zhao;  S. Huang;  S. Quan;  Y. Ding;  B. Zhang;  X. Lu;  L. Wang;  L. Lin;  J. Chen
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Nitrogen Doping Study With 1.3 GHz Single Cell Superconducting Cavities 会议论文
29th Linear Accelerator Conf., Beijing, China, 2018
Authors:  S. Chen;  M. Chen;  L.W. Feng;  J.K. Hao;  L. Lin;  K.X. Liu;  S.W. Quan;  F. Wang;  F. Zhu
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Nitrogen Doping Studies of Superconducting Cavities at Peking University 会议论文
Proceedings of the 19th International Conference on RF Superconductivity, Germany, 2019
Authors:  S. Chen;  M. Chen;  L.W. Feng;  J.K. Hao;  L. Lin;  K.X. Liu;  S.W. Quan;  F. Wang;  F. Zhu
Adobe PDF(342Kb)  |  Favorite  |  View/Download:40/0  INSPIRE cited times:[0]  |  Submit date:2020/03/02