Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings

Generating chemical element maps of paintings from X-ray fluorescence (XRF) data is a very valuable tool for the scientific community of conservators and art historians. Hand-held XRF scanners are cheap and easily portable but their use provides scans with a few data, so additional analytical tools...

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Veröffentlicht in:	Chemometrics and intelligent laboratory systems Jg. 248; S. 105116
Hauptverfasser:	Ruiz de Miras, Juan, Gacto, María José, Blanc, María Rosario, Arroyo, Germán, López, Luis, Torres, Juan Carlos, Martín, Domingo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.05.2024
Schlagworte:	Chemical element maps Machine learning Random forest Regression problem X-ray fluorescence Random forest X-ray fluorescence Chemical element maps Regression problem Machine learning
ISSN:	0169-7439, 1873-3239
Online-Zugang:	Volltext
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