Artificial intelligence for celestial object census: the latest technology meets the oldest science.

Lao, Baoqiang; An, Tao; Wang, Ailing; Xu, Zhijun; Guo, Shaoguang; Lv, Weijia; Wu, Xiaocong; Zhang, Yingkang

Lao, Baoqiang; An, Tao; Wang, Ailing; Xu, Zhijun; Guo, Shaoguang; Lv, Weijia; Wu, Xiaocong; Zhang, Yingkang.

Affiliation

Lao B; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China. Electronic address: lbq@shao.ac.cn.
An T; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China. Electronic address: antao@shao.ac.cn.
Wang A; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Xu Z; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
Guo S; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
Lv W; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
Wu X; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
Zhang Y; Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.

Sci Bull (Beijing) ; 66(21): 2145-2147, 2021 11 15.

Article in En | MEDLINE | ID: mdl-36654101

Subject(s)

Artificial Intelligence; Censuses; Technology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Censuses Language: En Journal: Sci Bull (Beijing) Year: 2021 Document type: Article Country of publication: Netherlands

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