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Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS
2018
Sensors
Laser-induced breakdown spectroscopy (LIBS) is an important analysis technique with applications in many industrial branches and fields of scientific research. Nowadays, the advantages of LIBS are impaired by the main drawback in the interpretation of obtained spectra and identification of observed spectral lines. This procedure is highly time-consuming since it is essentially based on the comparison of lines present in the spectrum with the literature database. This paper proposes the use of
doi:10.3390/s18113670
pmid:30380626
pmcid:PMC6263904
fatcat:3p7ey6cw2bgwxg2pzseiejmrtq