Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning-Reference-Cited by-同舟云学术

Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning

Published:2023-11 Issue: Volume:64 Page:198-206
ISSN:1296-2074
Container-title:Journal of Cultural Heritage
language:en
Short-container-title:Journal of Cultural Heritage

Author:

Stoean Ruxandra^ORCID,Bacanin Nebojsa^ORCID,Stoean Catalin^ORCID,Ionescu Leonard,Atencia Miguel^ORCID,Joya Gonzalo

Funder

Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii

Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare

Ontario Ministry of Research, Innovation and Science

Publisher

Elsevier BV

Subject

Chemistry (miscellaneous),Conservation,Archeology,Spectroscopy,Materials Science (miscellaneous),General Economics, Econometrics and Finance

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3. The recovery, restoration and conservation of a “spatha” found in Capidava Village, Constanta County, Romania;Ionescu;Studia Univ. Cibiniensis. Ser. Hist.,2019

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