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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Vydané v:	Chemometrics and intelligent laboratory systems Ročník 248; s. 105116
Hlavní autori:	Ruiz de Miras, Juan, Gacto, María José, Blanc, María Rosario, Arroyo, Germán, López, Luis, Torres, Juan Carlos, Martín, Domingo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.05.2024
Predmet:	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
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