| Autor: |
Jordan, Benjamin S., Thomason, Michael G., Readle, Jason D., Cooper, Jeffrey R., Hayward, Jason P., Hall, Howard L. |
| Předmět: |
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| Zdroj: |
JAAS (Journal of Analytical Atomic Spectrometry); Aug2023, Vol. 38 Issue 8, p1556-1559, 4p |
| Abstrakt: |
This technical note presents experimental results using numerical features of fs-LIBS data to classify the assay value of a gaseous UF6 material. The data-driven feature vectors are computed by Higher Order Generalized Singular Value Decomposition (HOGSVD) and Dynamic Time Warp (DTW). The method achieves 96.97% accuracy in spectral classification testing with fs-LIBS samples obtained from a UF6 material with five known assay values ranging from 0.287% to 61.740%, with 100% accuracy for the four largest assay values ranging from 4.615% to 61.740%. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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