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Ancient handwriting attribution via spectroscopic benchmarks and machine learning: ‘Clavis Prophetarum’ by Antonio Viera

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References

2005Spectroscopic Techniques in Cultural Heritage Conservation: A Survey187 cited
2015Calcium hydroxide nanoparticles in hydroalcoholic gelatin solutions (GeolNan) for the deacidification and strengthening of papers containing iron gall ink51 cited
2007Physical Techniques in the study of Art, Archaeology and Cultural Heritage51 cited
2019Study of Iron Gall Inks, Ingredients and Paper Composition Using Non-Destructive Techniques49 cited
2019Nano calcium carbonate versus nano calcium hydroxide in alcohols as a deacidification medium for lignocellulosic paper41 cited
2021Chemometric Tools to Point Out Benchmarks and Chromophores in Pigments through Spectroscopic Data Analyses28 cited
2018Recovering illegible writings in fire-damaged medieval manuscripts through data treatment of UV-fluorescence photography14 cited
2021Unveiling the original layers and color palette of 18th century overpainted Transylvanian icons by combined X‐ray radiography, hyperspectral imaging, and spectroscopic spot analysis11 cited
2022Late Middle Ages watermarked Italian paper: A Machine Learning spatial-temporal approach9 cited
2001Multispectral Imaging of the Archimedes Palimpsest.9 cited

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2025Studying ancient Egyptian copper-alloy objects via X-ray diffraction and Machine Learning6 cited

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