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KAISER, J. CHAMRADOVÁ, I. HOLUB, D. PROCHAZKA, D. POŘÍZKA, P.
Original Title
Detailed study of spectral features obtained from LIBS and Raman spectroscopy
Type
abstract
Language
English
Original Abstract
Investigation of samples is getting complex when providing structural and chemical analysis. The chemical analysis itself may be obtained via the utilization of various techniques giving diverse, yet complementary information. Their combined utilization is not trivial when considering sample preparation, sampling, data collection, and processing. In our work, we focus on elaborate data processing to provide robust data analysis and not using machine learning tools as black boxes. This demands a straightforward connection of machine learning to the data sources (e.g., spectroscopy, plasma physics, analytical chemistry) for efficient feature extraction and visualization. We have selected a series of polymer materials characterized by complex spectra datasets obtained by using various spectroscopic methods (LIBS and Raman spectroscopy). We demonstrate a step-by-step algorithm for polymer classification using individual spectroscopic datasets as well as their combination. The robustness of our classification algorithm is given in terms of overall accuracy.
Keywords
Laser-Induced Breakdown Spectroscopy; Raman Spectroscopy
Authors
KAISER, J.; CHAMRADOVÁ, I.; HOLUB, D.; PROCHAZKA, D.; POŘÍZKA, P.
Released
16. 10. 2020
Location
Sparks, Nevada
Pages count
1
URL
https://www.scixconference.org/
BibTex
@misc{BUT166082, author="Jozef {Kaiser} and Ivana {Chamradová} and Daniel {Holub} and David {Prochazka} and Pavel {Pořízka}", title="Detailed study of spectral features obtained from LIBS and Raman spectroscopy", year="2020", pages="1", address="Sparks, Nevada", url="https://www.scixconference.org/", note="abstract" }