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EnglishIt is well known that ancient buildings suffer a high vulnerability to hazards, which may induce unpredictable damages. For this purpose, a main objective to be pursued concerns with the development of techniques for monitoring historical buildings and immediately alerting in case of early vulnerability warnings. This paper proposes a noninvasive Neural Network-based (NN-based) approach for Monitoring heritage buildings providing alerts in risk events. More in detail, a neural approach is suggested with the aim of predicting early warnings of risk events by detecting time novelties in images of historical evidences.
| Autori: | ||
| Titolo: | On Damage Monitoring in Historical Buildings via Neural Networks | |
| Data di pubblicazione: | 2015 | |
| Nome del convegno: | IEEE Workshop on Environmental, Energy and Structural Monitoring Systems, EESMS 2015 | |
| ISBN: | 978-1-4799-8214-1 978-1-4799-8215-8 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/EESMS.2015.7175870 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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