Architectural heritage is an important part of the history and identity of countries, but ancient buildings suffer a high vulnerability to hazards, which may induce unpredictable damages. For this purpose, the development of techniques for monitoring historic buildings and immediately alerting in case of early vulnerability assessment is a main objective to be pursued. This paper concerns with a proposal of noninvasive NN-based approach for predicting risk events in artistic buildings. More in detail, a neural approach is suggested for detecting temporal novelties in images of historic evidences with the aim of monitoring early warning of risk events.
A NN-based Approach for Monitoring Early Warnings of Risk in Historic Buildings via Image Novelty Detection / Carnimeo, Leonarda; Nitti, Rosamaria. - STAMPA. - 628:(2015), pp. 212-217. [10.4028/www.scientific.net/KEM.628.212]
A NN-based Approach for Monitoring Early Warnings of Risk in Historic Buildings via Image Novelty Detection
Leonarda Carnimeo;
2015-01-01
Abstract
Architectural heritage is an important part of the history and identity of countries, but ancient buildings suffer a high vulnerability to hazards, which may induce unpredictable damages. For this purpose, the development of techniques for monitoring historic buildings and immediately alerting in case of early vulnerability assessment is a main objective to be pursued. This paper concerns with a proposal of noninvasive NN-based approach for predicting risk events in artistic buildings. More in detail, a neural approach is suggested for detecting temporal novelties in images of historic evidences with the aim of monitoring early warning of risk events.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.