Detail publikace

Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy

Originální název

Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy

Anglický název

Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy

Jazyk

en

Originální abstrakt

In this manuscript we investigate the utilization of Laser-Induced Breakdown Spectroscopy (LIBS) coupled with Multivariate Data Analysis (MVDA). However, many articles regarding the use of MVDA on data from LIBS do not provide any information about the data pretreatment. This work describes the impact of LIBS data normalization approaches on MVDA classification accuracy.

Anglický abstrakt

In this manuscript we investigate the utilization of Laser-Induced Breakdown Spectroscopy (LIBS) coupled with Multivariate Data Analysis (MVDA). However, many articles regarding the use of MVDA on data from LIBS do not provide any information about the data pretreatment. This work describes the impact of LIBS data normalization approaches on MVDA classification accuracy.

Dokumenty

BibTex


@article{BUT129081,
  author="Pavel {Pořízka} and Jakub {Klus} and Aleš {Hrdlička} and Jakub {Vrábel} and Pavlína {Modlitbová} and David {Prochazka} and Jan {Novotný} and Karel {Novotný} and Jozef {Kaiser}",
  title="Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy",
  annote="In this manuscript we investigate the utilization of Laser-Induced Breakdown Spectroscopy (LIBS) coupled with Multivariate Data Analysis (MVDA). However, many articles regarding the use of MVDA on data from LIBS do not provide any information about the data pretreatment. This work describes the impact of LIBS data normalization approaches on MVDA classification accuracy.",
  chapter="129081",
  doi="10.1039/c6ja00322b",
  howpublished="print",
  number="2",
  volume="32",
  year="2017",
  month="february",
  pages="277--288",
  type="journal article in Web of Science"
}