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Multi-nuclide source term estimation method for severe nuclear accidents from sequential gamma dose rate based on a recurrent neural network.
Ling, Yongsheng; Yue, Qi; Huang, Tian; Shan, Qing; Hei, Daqian; Zhang, Xiaojun; Jia, Wenbao.
Afiliação
  • Ling Y; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, China; Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, 215021 Suzhou, China.
  • Yue Q; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, China.
  • Huang T; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, China.
  • Shan Q; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, China.
  • Hei D; School of Nuclear Science and Technology, Lanzhou University, 730000 Lanzhou, China.
  • Zhang X; Suzhou Guanrui Information Technology Co., Ltd, 215123 Suzhou, China.
  • Jia W; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, China; Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, 215021 Suzhou, China. Electronic address: jiawenbao@163.com.
J Hazard Mater ; 414: 125546, 2021 07 15.
Article em En | MEDLINE | ID: mdl-33684811
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article