CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2020_501
authors La Russa, Federico Mario and Santagati, Cettina
year 2020
title From the Cognitive to the Sentient Building - Machine Learning for the preservation of museum collections in historical architecture
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 507-516
summary The aim of this paper is to evaluate the efficacy of the Digital Twin approach to achieving Sentient buildings able to develop preservation and conservation action plans from environmental data. The case study is based on the integration of an H-BIM model with an AI-based Decision Support System implementing Machine Learning techniques for conserving museum collections in historical buildings.
keywords Digital Twin; Historical Architecture; Artificial Intelligence; Decision Support System; Museum Collections; Preventive Conservation
series eCAADe
full text file.pdf (2,614,715 bytes)
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