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

Journal of Cultural Heritage(2022)

Cited 2|Views20
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Abstract
•Machine Learning to classify watermarked Italian paper.•XRF and FTIR spectroscopies to study late middle-aged Italian watermarked paper.•A new spatial-temporal approach to trace the local recipes and the geographical paper mills’ production.•Bergamo and Bologna stand out as marked watermarked Italian paper mills.
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Key words
Late Middle Ages paper,Watermarked papers,Spatial-temporal approach,Machine Learning
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