AI for knowledge of Architecture. Survey and monitoring of the Cathedral of San Matteo in Salerno

Marika Falcone

doi:10.6093/978-88-6887-342-4

AI for knowledge of Architecture. Survey and monitoring of the Cathedral of San Matteo in Salerno

Authors

Marika Falcone

University of Naples Federico II

https://orcid.org/0000-0002-4879-7608

DOI: https://doi.org/10.6093/978-88-6887-342-4

Keywords:

architecture, predictive surveying, artificial intelligence, cultural heritage, monitoring

Synopsis

Publisher: FedOA - Federico II University Press

Series: ADAM. Architettura, Disegno, Arte e Modellazione | Architecture, Drawing, Art, and Modeling

Pages: 218

Language: English

Abstract: The monitoring of architectural heritage supported by Artificial Intelligence represents today an innovative and futuristic field of experimentation for the scientific disciplinary sector CEAR-10/A. With this premise, the volume investigates the theoretical and methodological issues underlying the prediction of digital data obtained from three-dimensional survey techniques. In particular, the aim of the volume is to outline an experimental methodology of architectural investigation, which brings together the disciplines of computer science with digital survey, also through the use of modern information and communication technologies (ICT) and Machine Learning (ML) techniques.

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Author Biography

Marika Falcone, University of Naples Federico II

Marika Falcone (architect and PhD) carries out research activities that range from the themes of architectural design and representation to the survey of buildings and the environment. Her studies focus on innovative survey techniques, on digital model prediction systems supported by generative AI applications for cultural heritage representation methodologies.