In:
Journal of Analytical Atomic Spectrometry, Royal Society of Chemistry (RSC), Vol. 38, No. 8 ( 2023), p. 1556-1559
Abstract:
This technical note presents experimental results using numerical features of fs-LIBS data to classify the assay value of a gaseous UF 6 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 UF 6 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%.
Type of Medium:
Online Resource
ISSN:
0267-9477
,
1364-5544
Language:
English
Publisher:
Royal Society of Chemistry (RSC)
Publication Date:
2023
detail.hit.zdb_id:
1484654-8
detail.hit.zdb_id:
54176-X
SSG:
11