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.
|Titolo:||A NN-based Approach for Monitoring Early Warnings of Risk in Historic Buildings via Image Novelty Detection|
|Titolo del libro:||Structural monitoring of ARTistic and historical BUILding testimonies : selected, peer reviewed papers from the Final International Conference SMART BUILT, March 27-29, 2014, Bari, Italy|
|Data di pubblicazione:||2015|
|Digital Object Identifier (DOI):||10.4028/www.scientific.net/KEM.628.212|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|