A hybrid random forest method fusing wavelet transform and variable importance for the quantitative analysis of K in potassic salt ore using laser-induced breakdown spectroscopy

2020 ◽  
Vol 35 (6) ◽  
pp. 1131-1138 ◽  
Author(s):  
Yu Ding ◽  
Wan Zhang ◽  
Xingqiang Zhao ◽  
Liwen Zhang ◽  
Fei Yan
Keyword(s):  
Wavelet Transform ◽  
Quantitative Analysis ◽  
Random Forest ◽  
Variable Importance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Random Forest Method ◽  
Laser Induced Breakdown

The aims of this study were to explore the feasibility of using LIBS technology combined with a hybrid RF algorithm for quantitative analysis of K in potash ore.

Interference correction for laser-induced breakdown spectroscopy using a deconvolution algorithm

2020 ◽  
Vol 35 (4) ◽  
pp. 762-766 ◽  
Author(s):  
Kun Liu ◽  
Ran Zhou ◽  
Wen Zhang ◽  
Zhiyang Tang ◽  
Jiujiang Yan ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Quantitative Analysis ◽  
Spectral Interference ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Interference Correction ◽  
Deconvolution Algorithm ◽  
Laser Induced Breakdown ◽  
Overlapping Peaks

Spectral interference of the background and overlapping peaks was corrected using wavelet transform and Richardson–Lucy deconvolution in LIBS quantitative analysis.

A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

2014 ◽  
Vol 29 (12) ◽  
pp. 2323-2329 ◽  
Author(s):  
Tianlong Zhang ◽  
Long Liang ◽  
Kang Wang ◽  
Hongsheng Tang ◽  
Xiaofeng Yang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Random Forest ◽  
Laser Induced Breakdown Spectroscopy ◽  
Random Forest Regression ◽  
Breakdown Spectroscopy ◽  
Novel Approach ◽  
Laser Induced Breakdown

LIBS combined with random forest regression (RFR) was proposed for the quantitative analysis of multiple elements in fourteen steel samples.

scholarly journals Correction: Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method

2020 ◽  
Vol 35 (7) ◽  
pp. 1505-1505
Author(s):  
Yanwu Chu ◽  
Tong Chen ◽  
Feng Chen ◽  
Yun Tang ◽  
Shisong Tang ◽  
...  
Keyword(s):  
Random Forest ◽  
Nasopharyngeal Carcinoma ◽  
Extreme Learning Machine ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Random Forest Method ◽  
Laser Induced Breakdown ◽  
Learning Machine

Correction for ‘Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method’ by Yanwu Chu et al., J. Anal. At. Spectrom., 2018, 33, 2083–2088, DOI: 10.1039/C8JA00263K.

Quantitative analysis of toxic elements in polypropylene (PP) via laser-induced breakdown spectroscopy (LIBS) coupled with random forest regression based on variable importance (VI-RFR)

2019 ◽  
Vol 11 (37) ◽  
pp. 4769-4774 ◽  
Author(s):  
Ke Liu ◽  
Di Tian ◽  
Heyi Xu ◽  
Hongxia Wang ◽  
Guang Yang
Keyword(s):  
Quantitative Analysis ◽  
Random Forest ◽  
Environmental Protection ◽  
Human Health ◽  
Toxic Elements ◽  
Laser Induced Breakdown Spectroscopy ◽  
Random Forest Regression ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Plastic Products

With the extensive use of plastic products, determining the amount of toxic elements in plastic products has become a pressing issue for human health and environmental protection.

Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest

2015 ◽  
Vol 7 (6) ◽  
pp. 2425-2432 ◽  
Author(s):  
Shan Wu ◽  
Tianlong Zhang ◽  
Hongsheng Tang ◽  
Kang Wang ◽  
Xiaofeng Yang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Random Forest ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Nonmetal Elements

Laser-induced breakdown spectroscopy (LIBS) combined with PLSR and RF was employed for the detection of nonmetal elements in steels.

Rapid quantitative analysis of the acidity of iron ore by the laser-induced breakdown spectroscopy (LIBS) technique coupled with variable importance measures-random forests (VIM-RF)

2019 ◽  
Vol 11 (27) ◽  
pp. 3419-3428 ◽  
Author(s):  
Ping Wang ◽  
Nan Li ◽  
Chunhua Yan ◽  
Yaozhou Feng ◽  
Yu Ding ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Random Forests ◽  
Iron Ore ◽  
Rapid Analysis ◽  
Variable Importance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Variable Importance Measures

The LIBS technique coupled with VIM-RF was applied for the rapid analysis of the acidity of iron ore.

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