Spectroscopy and Spectral Analysis, Volume. 44, Issue 8, 2273(2024)

Deep Leaning Classification of Novel Coronavirus Raman Spectra Enhanced by CGAN

ZHANG Yin1... FENG Cheng-cheng2,3, XIA Qi2,3, HU Ting1 and YUAN Li-bo1,* |Show fewer author(s)
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    References(6)

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

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

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

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

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

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

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    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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    Paper Information

    Received: Mar. 30, 2023

    Accepted: --

    Published Online: Oct. 11, 2024

    The Author Email: Li-bo YUAN (lbyuan@vip.sina.com)

    DOI:10.3964/j.issn.1000-0593(2024)08-2273-06

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