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Machine learning based on structural and FTIR spectroscopic datasets for seed autoclassification.
Wang, Hanqiu; Rehmetulla, Aybek; Guo, Shanshan; Kong, Xin; Lü, Zhiwei; Guan, Yu; Xu, Cong; Sulaiman, Kaiser; Wei, Gongxiang; Liu, Huiqiang.
Afiliação
  • Wang H; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Rehmetulla A; Institute of Traditional Chinese Medicine and Ethnomedicine, Xinjiang Uyghur Autonomous Region Urumqi 830002 China.
  • Guo S; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Kong X; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Lü Z; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Guan Y; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Xu C; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Sulaiman K; Institute of Traditional Chinese Medicine and Ethnomedicine, Xinjiang Uyghur Autonomous Region Urumqi 830002 China.
  • Wei G; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
  • Liu H; School of Physics and Optoelectronic Engineering, Shandong University of Technology Zibo 255000 China liuhq@sdut.edu.cn weigx@sdut.edu.cn.
RSC Adv ; 12(18): 11413-11419, 2022 Apr 07.
Article em En | MEDLINE | ID: mdl-35425064
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: RSC Adv Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: RSC Adv Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido