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

Bibliographic Data

ID4674975
AuthorsRuxandra Stoean (0000-0002-9849-5712, Romanian Institute of Science and Technology), Nebojsa Bacanin (0000-0002-2062-924X, Singidunum University, corresponding author), Catalin Stoean (0000-0001-5917-1857, Singidunum University), Leonard Ionescu (Romanian Institute of Science and Technology, corresponding author), Miguel Atencia (0000-0002-5158-5905, Romanian Institute of Science and Technology), Gonzalo Joya (0000-0001-9256-0870, Universidad de Málaga)
Year2023
Volume64
Pages198-206
Publication date2023-11-01
Open AccessYes
TypeARTICLE
VenueJournal of Cultural Heritage (JOURNAL)
Journal identifiersISSN: 1296-2074 • E-ISSN: 1778-3674
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.culher.2023.10.007
OpenAlexW4388043400
LanguageEN
Citations received1
References cited11

Tools

Open DOIOpen Access