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Chemometrics and machine learning for spectral analysis

Publication ,  Conference
Collins, L
Published in: Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012
January 1, 2012

In this talk, we will review the current state of the art chemometric data processing techniques for LIBS and will highlight techniques we believe hold promise for improving detection and identification using LIBS spectra. © 2012 OSA.

Duke Scholars

Published In

Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012

DOI

ISBN

9781557529336

Publication Date

January 1, 2012
 

Citation

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Collins, L. (2012). Chemometrics and machine learning for spectral analysis. In Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012. https://doi.org/10.1364/lacsea.2012.lm5b.3
Collins, L. “Chemometrics and machine learning for spectral analysis.” In Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012, 2012. https://doi.org/10.1364/lacsea.2012.lm5b.3.
Collins L. Chemometrics and machine learning for spectral analysis. In: Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012. 2012.
Collins, L. “Chemometrics and machine learning for spectral analysis.” Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012, 2012. Scopus, doi:10.1364/lacsea.2012.lm5b.3.
Collins L. Chemometrics and machine learning for spectral analysis. Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012. 2012.

Published In

Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2012

DOI

ISBN

9781557529336

Publication Date

January 1, 2012