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
[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.
Get Citation
Copy Citation Text
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
Category:
Received: Oct. 30, 2023
Accepted: Dec. 13, 2024
Published Online: Dec. 13, 2024
The Author Email: