• Semiconductor Optoelectronics
  • Vol. 44, Issue 4, 621 (2023)
WANG Yuchen1,2,3,4, SUN Shengli1,2,*, and MA Yijun1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.16818/j.issn1001-5868.2023020801 Cite this Article
    WANG Yuchen, SUN Shengli, MA Yijun. Digital-Twin-Enhanced Domain Adaptation Method for Spacecraft Remainders Detection[J]. Semiconductor Optoelectronics, 2023, 44(4): 621 Copy Citation Text show less
    References

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    [15] Tao F, Cheng J, Qi Q, et al. Digital twin-driven product design, manufacturing and service with big data[J]. The Inter. J. of Adv. Manufacturing Technol., 2018, 94: 3563-3576.

    [16] Pan S J, Tsang I W, Kwok J T, et al. Domain adaptation via transfer component analysis[J]. IEEE Trans. on Neural Networks, 2011, 22(2): 199-210.

    [17] Zhou X, Sbarufatti C, Giglio M, et al. A fuzzy-set-based joint distribution adaptation method for regression and its application to online damage quantification for structural digital twin[J]. Mechanical Systems and Signal Processing, 2023, 191:110164.

    WANG Yuchen, SUN Shengli, MA Yijun. Digital-Twin-Enhanced Domain Adaptation Method for Spacecraft Remainders Detection[J]. Semiconductor Optoelectronics, 2023, 44(4): 621
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