中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments

文献类型:期刊论文

作者Zhang, Zhen; Li, Chun; Wang, Wenhui; Dong, Zheng; Liu, Gongfa; Dong, Yuhui; Zhang, Yi
刊名Innovation
出版日期2024
卷号5期号:1
DOI10.1016/j.xinn.2023.100539
文献子类Article
电子版国际标准刊号2666-6758
源URL[https://ir.ihep.ac.cn/handle/311005/306451]  
专题高能物理研究所_多学科研究中心
推荐引用方式
GB/T 7714
Zhang, Zhen,Li, Chun,Wang, Wenhui,et al. Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments[J]. Innovation,2024,5(1).
APA Zhang, Zhen.,Li, Chun.,Wang, Wenhui.,Dong, Zheng.,Liu, Gongfa.,...&Zhang, Yi.(2024).Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments.Innovation,5(1).
MLA Zhang, Zhen,et al."Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments".Innovation 5.1(2024).

入库方式: OAI收割

来源:高能物理研究所

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