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Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning
| Title: | Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning | Authors: | R. Stoean; Nebojsa Bacanin   ; C. Stoean; L. Ionescu; M. Atencia; G. Joya |
Issue Date: | 2023 | Publication: | JOURNAL OF CULTURAL HERITAGE | ISSN: | 1296-2074 Journal of Cultural Heritage Search Idenfier |
Type: | Article | Collation: | vol. 64 str. 198-206 | DOI: | 10.1016/j.culher.2023.10.007 | WoS-ID: | 001104583000001 | Scopus-ID: | 2-s2.0-85174494188 | URI: | https://www.sciencedirect.com/science/article/pii/S129620742300198X http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10034 https://enauka.gov.rs/handle/123456789/924479 |
URL: | https://doi.org/10.1016%2Fj.culher.2023.10.007 | M-category: | 21a+M21a+ |
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