Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment

The environmental microclimatic characteristics are often subject to fluctuations of considerable importance, which can cause irreparable damage to art works. We explored the applicability of Artificial Intelligence (AI) techniques to the Cultural Heritage area, with the aim of predicting short-term...

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Detalles Bibliográficos
Autores principales: Bile, Alessandro, Tari, Hamed, Grinde, Andreas, Frasca, Francesca, Siani, Anna Maria, Fazio, Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781373/
https://www.ncbi.nlm.nih.gov/pubmed/35062573
http://dx.doi.org/10.3390/s22020615

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781373/
https://www.ncbi.nlm.nih.gov/pubmed/35062573
http://dx.doi.org/10.3390/s22020615

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