Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests

Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests

Preventive conservation of cultural heritage can avoid or minimize future damage, deterioration, loss and consequently, any invasive intervention. Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans, based on their ability to predict the future s...

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Bibliographic Details
Main Authors: Marco D'Orazio, Gabriele Bernardini, Elisa Di Giuseppe
Format: Article
Language:English
Published: Universidad Politécnica de Valencia 2023-04-01
Series:Vitruvio: International Journal of Architectural Technology and Sustainability
Subjects:
cultural heritage
preventive conservation
maintenance
nlp
neural networks
Online Access:http://polipapers.upv.es/index.php/vitruvio/article/view/18811

Internet

http://polipapers.upv.es/index.php/vitruvio/article/view/18811

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