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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitat Politècnica de València
2023-04-01
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| Series: | Vitruvio: International Journal of Architectural Technology and Sustainability |
| Subjects: | |
| Online Access: | http://polipapers.upv.es/index.php/vitruvio/article/view/18811 |
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