Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography.

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Title: Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography.
Authors: Peng, Laihu1, Fan, Hao1, Qi, Yubao1, Li, Jianqiang1, wzcnljq@126.com
Source: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 9, p4830, 24p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 185139279
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  Data: Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography.
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      – Type: doi
        Value: 10.3390/app15094830
    Languages:
      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 4830
    Titles:
      – TitleFull: Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography.
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            NameFull: Peng, Laihu
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            NameFull: Fan, Hao
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            NameFull: Qi, Yubao
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              Text: May2025
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              Y: 2025
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              Value: 15
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              Value: 9
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