• Journal of Innovative Optical Health Sciences
  • Vol. 15, Issue 3, 2250021 (2022)
[in Chinese]1、2, [in Chinese]2, [in Chinese]3, [in Chinese]1、*, [in Chinese]4, [in Chinese]4, and [in Chinese]1、2
Author Affiliations
  • 1School of Computer Science and Information Security, Guilin University of Electronic Technology, 1 Jinji Road, Guilin 541004, P. R. China
  • 2School of Artificial Intelligence, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Beijing 100876, P. R. China
  • 3School of International, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Beijing 100876, P. R. China
  • 4National Institutes for Food and Drug Control, 10 Tiantanxili Road, Beijing 100050, P. R. China
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    DOI: 10.1142/s1793545822500213 Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. SpectraTr: A novel deep learning model for qualitative analysis of drug spectroscopy based on transformer structure[J]. Journal of Innovative Optical Health Sciences, 2022, 15(3): 2250021 Copy Citation Text show less
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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. SpectraTr: A novel deep learning model for qualitative analysis of drug spectroscopy based on transformer structure[J]. Journal of Innovative Optical Health Sciences, 2022, 15(3): 2250021
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