• Spectroscopy and Spectral Analysis
  • Vol. 44, Issue 8, 2273 (2024)
ZHANG Yin1, FENG Cheng-cheng2,3, XIA Qi2,3, HU Ting1, and YUAN Li-bo1,*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2024)08-2273-06 Cite this Article
    ZHANG Yin, FENG Cheng-cheng, XIA Qi, HU Ting, YUAN Li-bo. Deep Leaning Classification of Novel Coronavirus Raman Spectra Enhanced by CGAN[J]. Spectroscopy and Spectral Analysis, 2024, 44(8): 2273 Copy Citation Text show less
    References

    [3] Lee K S, Landry Z, Pereira F C, et al. Nature Reviews Methods Primers, 2021, 1: 80.

    [11] Montavon G, Samek W, Müller K R. Digital Signal Processing, 2018, 73: 1.

    [12] Zhang M L, Zhou Z H. Pattern Recognition, 2007, 40(7): 2038.

    [13] LaValley M P. Circulation, 2008, 117(18): 2395.

    [14] Yin G, Li L, Lu S, et al. Journal of Raman Spectroscopy, 2021, 52(5): 949.

    [15] Loey M, Manogaran G, Khalifa N E M. Neural Computing and Applications, 2020. https://doi.org/10.1007/S00521-020-0537-X.

    ZHANG Yin, FENG Cheng-cheng, XIA Qi, HU Ting, YUAN Li-bo. Deep Leaning Classification of Novel Coronavirus Raman Spectra Enhanced by CGAN[J]. Spectroscopy and Spectral Analysis, 2024, 44(8): 2273
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