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Computational framework for the evaluation of the compositi..:
Stoean, Ruxandra
;
Bacanin, Nebojsa
;
Stoean, Catalin
...
Journal of Cultural Heritage. 64 (2023) - p. 198-206 , 2023
Link:
https://doi.org/10.1016/j.culher.2023.10.007
RT Journal T1
Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.culher.2023.10.007&Exemplar=1&LAN=DE A1 Stoean, Ruxandra A1 Bacanin, Nebojsa A1 Stoean, Catalin A1 Ionescu, Leonard A1 Atencia, Miguel A1 Joya, Gonzalo PB Elsevier BV YR 2023 SN 1296-2074 JF Journal of Cultural Heritage VO 64 SP 198 OP 206 LK http://dx.doi.org/https://doi.org/10.1016/j.culher.2023.10.007 DO https://doi.org/10.1016/j.culher.2023.10.007 SF ELIB - SuUB Bremen
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