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A deep learning-based pipeline for the conservation assessment of bindings in archives and libraries.

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Title: A deep learning-based pipeline for the conservation assessment of bindings in archives and libraries.
Authors: Lee-Gouet, Valérie1,2, valerie.lee.gouet@gmail.com, Yamoun, Lahcen1, Rodière, Zacharie1, Simon Chane, Camille1, camille.simon-chane@ensea.fr, Jordan, Michel1, michel.jordan@cyu.fr, Longhi, Julien2, Picard, David3
Source: Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 32, p39171-39185, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188314048
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PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.1007/s11042-025-20615-6
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      – Code: eng
        Text: English
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        StartPage: 39171
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      – TitleFull: A deep learning-based pipeline for the conservation assessment of bindings in archives and libraries.
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              M: 09
              Text: Sep2025
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              Y: 2025
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