Showing 1 - 20 results of 436 for search '(( ct ((largest decrease) OR (marked decrease)) ) OR ( via ((laser decrease) OR (mean decrease)) ))', query time: 0.40s Refine Results
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    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
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    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
  13. 13

    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
  14. 14

    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
  15. 15

    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
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    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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