Near-Infrared Spectroscopy and Machine Learning for Accurate Dating of Historical Books

[Image: see text] Non-destructive, fast, and accurate methods of dating are highly desirable for many heritage objects. Here, we present and critically evaluate the use of near-infrared (NIR) spectroscopic data combined with three supervised machine learning methods to predict the publication year o...

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Detalles Bibliográficos
Autores principales: Coppola, Floriana, Frigau, Luca, Markelj, Jernej, Malešič, Jasna, Conversano, Claudio, Strlič, Matija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251519/
https://www.ncbi.nlm.nih.gov/pubmed/37216468
http://dx.doi.org/10.1021/jacs.3c02835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251519/
https://www.ncbi.nlm.nih.gov/pubmed/37216468
http://dx.doi.org/10.1021/jacs.3c02835

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