APPLIED LASER, Volume. 44, Issue 5, 154(2024)

Quantitative Analysis of the UV Light Aging Condition of Inkpad Based on Infrared Spectroscopy and AdaBoost Algorithm

Liu Meng1 and Shen Si2
Author Affiliations
  • 1Department of Investigation, Zhejiang Police College, Hangzhou 310053, Zhejiang, China
  • 2Department of Criminal Science and Technology, Zhejiang Police College, Hangzhou 310053, Zhejiang, China
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    References(3)

    [12] [12] ZHOU T, PENG Y B. An active-learning reliability method based on support vector regression and cross validation[J]. Computers & Structures, 2023, 276: 106943.

    [15] [15] WANG J Y, ZHANG H X, WANG C Y, et al. Forensic age estimation from human blood using age-related microRNAs and circular RNAs markers[J]. Frontiers in Genetics, 2022, 13: 1031806.

    [17] [17] BOGDAL C, SCHELLENBERG R, HPLI O, et al. Recognition of gasoline in fire debris using machine learning: Part I, application of random forest, gradient boosting, support vector machine, and nave Bayes[J]. Forensic Science International, 2022, 331: 111146.

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    Liu Meng, Shen Si. Quantitative Analysis of the UV Light Aging Condition of Inkpad Based on Infrared Spectroscopy and AdaBoost Algorithm[J]. APPLIED LASER, 2024, 44(5): 154

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    Paper Information

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    Received: Oct. 30, 2023

    Accepted: Dec. 13, 2024

    Published Online: Dec. 13, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20244405.154

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