A machine learning approach to analysis and classification of measurements in cultural heritage

A machine learning approach to analysis and classification of measurements in cultural heritage

Treatment of spectral information is an essential tool for the examination of various cultural heritage materials. Raman Spectroscopy has become an everyday practice for compound identification due to its non-intrusive nature, but often it can be a complex operation. Spectral identification and anal...

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Bibliographic Details
Main Authors: Sevetlidis, Vasileios, Σεβετλίδης, Βασίλειος
Other Authors: Παυλίδης, Γιώργος
Language:English
Published: 2020
Subjects:
Raman spectroscopy
machine learning
mineral identification
φασματοσκοπία Raman
εκμάθηση μηχανών
ορυκτολογική ταυτοποίηση
Raman spectroscopy (URL: http://id.loc.gov/authorities/subjects/sh85111278)
Machine learning (URL: http://id.loc.gov/authorities/subjects/sh85079324)
Cultural property (URL: http://id.loc.gov/authorities/subjects/sh97000183)
Online Access:http://hdl.handle.net/11610/19962
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http://hdl.handle.net/11610/19962

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