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Late Middle Ages watermarked Italian paper: A Machine Learning spatial-temporal approach · Study

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ArticleLate Middle Ages watermarked Italian paper: A Machine Learning spatial-temporal approach

Lorenzo Teodonio2022

Article2022

Late Middle Ages watermarked Italian paper: A Machine Learning spatial-temporal approach

Lorenzo Teodonio · Claudia Scatigno · Mauro Missori · Giulia Festa

9 citations·0/0 files stored·Journal of Cultural Heritage

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Cultural Heritage Materials Analysis Spectroscopy and Chemometric Analyses X-ray Spectroscopy and Fluorescence Analysis

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References

1943Papermaking: The History and Technique of An Ancient Craft 2010FTIR and UV/vis as methods for evaluation of oxidative degradation of model paper: DFT approach for carbonyl vibrations 2009Application of spectroscopic techniques for the study of paper documents: A survey 2019Restoring ancient text using deep learning: a case study on Greek epigraphy 2019Study of Iron Gall Inks, Ingredients and Paper Composition Using Non-Destructive Techniques 2008Composition and Condition of Naturally Aged Papers 2006Gelatine sizing and discoloration: A comparative study of optical spectra obtained from ancient and artificially aged modern papers 2014Visual degradation in Leonardo da Vinci's iconic self-portrait: A nanoscale study

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2023Ancient handwriting attribution via spectroscopic benchmarks and machine learning: ‘Clavis Prophetarum’ by Antonio Viera 2025Studying ancient Egyptian copper-alloy objects via X-ray diffraction and Machine Learning

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Details

Year2022

Typearticle

Published2022-08-05

VenueJournal of Cultural Heritage

ISSN-L1296-2074

Languageen

Citations9

Files0 public / 0

ShelfCultural Heritage Materials Analysis

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doi10.1016/j.culher.2022.07.006

openalex_workW4289890394

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