2022
DOI: 10.1007/s10812-022-01452-z
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Laser-Induced Breakdown Spectral Separation Method for Bauxite Based on Convolutional Neural Network

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Cited by 3 publications
(2 citation statements)
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“…The versatile nature of LIBS for in situ analysis of a wide range of potential ores has been demonstrated in several papers. Identification in the field of different types of bauxite was based 197 on a convolutional neural network approach and PCA. Fast and detailed analysis of mineral species in copper ores was achieved 198 by preliminary screening using hyperspectral imaging to discriminate between Cu-sulfides and barren minerals, followed by detailed elemental and mineralogical analysis by μLIBS.…”
Section: Analysis Of Geological Materialsmentioning
confidence: 99%
“…The versatile nature of LIBS for in situ analysis of a wide range of potential ores has been demonstrated in several papers. Identification in the field of different types of bauxite was based 197 on a convolutional neural network approach and PCA. Fast and detailed analysis of mineral species in copper ores was achieved 198 by preliminary screening using hyperspectral imaging to discriminate between Cu-sulfides and barren minerals, followed by detailed elemental and mineralogical analysis by μLIBS.…”
Section: Analysis Of Geological Materialsmentioning
confidence: 99%
“…Convolutional neural network (CNN) is a typical deep learning algorithm which extracts useful information and reduces high dimensionality. Numerous researchers have focused on the research of LIBS by CNN [13]. Pengfei Zhang et al [14] used a Resnet network to quantify the elemental compositions from LIBS signals on Mars, which effectively reduced the prediction error of measuring elements.…”
Section: Introductionmentioning
confidence: 99%