• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 3, 769 (2022)
Ai-ling TAN1、*, Zhen-yuan CHU1、1;, Xiao-si WANG1、1;, and Yong ZHAO2、2; *;
Author Affiliations
  • 11. School of Information and Science Engineering, Yanshan University, the Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Qinhuangdao 066004, China
  • 22. School of Electrical Engineering, Yanshan University, the Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Qinhuangdao 066004, China
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    DOI: 10.3964/j.issn.1000-0593(2022)03-0769-07 Cite this Article
    Ai-ling TAN, Zhen-yuan CHU, Xiao-si WANG, Yong ZHAO. Detection of Pearl Powder Adulteration Based on Raman Spectroscopy and DCGAN Data Enhancement[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 769 Copy Citation Text show less
    References

    [4] Y Bai Z, W Wei, Q Liu S et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 189, 265(2018).

    [5] Y Zhang X, X Zhu W, Z Weng S et al. Artificial Intelligence in Agriculture, 3, 1(2019).

    [6] S Gustavo F, Andrade, Fan Meikun et al. Analytica Chimica Acta, 1097, 1(2020).

    [7] Dongqi Wang, Zijian Wang, Peisheng He et al. Current Opinion in Biotechnology, 64, 218(2020).

    [10] Lussier Félix, Thibault Vincent, Charron Benjamin. TrAC Trends in Analytical Chemistry, 124, 115796(2020).

    [11] Glahder Mads, Bjerrum Esben Jannik, Skov Thomas. arXiv: 2017, 1710. 01927v1.

    [12] Jamme Frédéric, Duponchel Ludovic. Journal of Chemometrics, 31, e2882(2017).

    [14] I Goodfellow, J Pouget-Abadie, M Mirza et al. Advances in Neural Information Processing Systems, 27, 2672(2014).

    Ai-ling TAN, Zhen-yuan CHU, Xiao-si WANG, Yong ZHAO. Detection of Pearl Powder Adulteration Based on Raman Spectroscopy and DCGAN Data Enhancement[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 769
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