Spectroscopy and Spectral Analysis, Volume. 44, Issue 12, 3524(2024)

Research on the Inverse Model of Paper Viscosity Based on Hyperspectral Data

WANG Sa1...2, QU Liang1,2,*, ZHANG Li-fu3, GAO Yu3, LI Guang-hua1,2, and CHANG Jing-jing12 |Show fewer author(s)
Author Affiliations
  • 1The Palace Museum, Beijing 100009, China
  • 2China-Greece Belt and Road Joint Laboratory on Cultural Heritage Conservation Technology, Beijing 100009, China
  • 3Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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    References(7)

    [5] [5] Balas C, Papadakis V, Papadakis N, et al. Journal of Cultural Heritage, 2003, 4(S1): 330.

    [6] [6] Sun M, Zhang D, Wang Z, et al. Scientific Reports, 2015, 5: 14371.

    [8] [8] Vermeulen M, Miranda A S O, Tamburini D, et al. Heritage Science, 2022, 10(1): 44.

    [15] [15] Guo Guodong, Fu Yun, Dyer Charles R, et al. IEEE Transactions on Image Processing, 2008, 17(7): 1178.

    [16] [16] Breiman L. Machine Learning, 1996, 24: 123.

    [17] [17] Chen T, Guestrin C. XGBoot: A Scalable Tree Boosting System, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2016: 785.

    [18] [18] Prokhorenkova L, Gusev G, Vorobev A, et al. CatBoost: Unbiased Boosting With Categorical Features, Proceedings of the 32nd International Conference on Neural Information Processing Systems,2017: 6639.

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    WANG Sa, QU Liang, ZHANG Li-fu, GAO Yu, LI Guang-hua, CHANG Jing-jing. Research on the Inverse Model of Paper Viscosity Based on Hyperspectral Data[J]. Spectroscopy and Spectral Analysis, 2024, 44(12): 3524

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    Paper Information

    Received: Nov. 14, 2023

    Accepted: Jan. 16, 2025

    Published Online: Jan. 16, 2025

    The Author Email: Liang QU (quliang@dpm.org.cn)

    DOI:10.3964/j.issn.1000-0593(2024)12-3524-10

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