Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study

Authors

Federico Camerín (ORCID: https://orcid.org/0000-0002-8659-3761)
Francesco Gastaldi (ORCID: https://orcid.org/0000-0002-4657-4195)
Nicola Camatti (ORCID: https://orcid.org/0000-0002-1899-2728)
Giacomo di Tollo (ORCID: https://orcid.org/0000-0001-7044-6014)

Institutions

Universidad de Valladolid (ES)
Università Iuav di Venezia (IT)
Ca' Foscari University of Venice (IT)
University of Sannio (IT)

Publication Details

Journal: Regional Studies Regional Science
Published: 2025-03-19
DOI: https://doi.org/10.1080/21681376.2025.2472058
Citations: 5
Primary Topic: 3D Surveying and Cultural Heritage
Type: article
Field-Weighted Citation Impact: 11.73

Funders

Ministerio de Ciencia, Innovación y Universidades
Agencia Estatal de Investigación
European Social Fund

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article

Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study

Federico Camerín, Francesco Gastaldi, Nicola Camatti, Giacomo di Tollo

Mar 19, 2025

5 citations

Regional Studies Regional Science

3D Surveying and Cultural Heritage

11.73

article

Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study

Federico Camerín, Francesco Gastaldi, Nicola Camatti, Giacomo di Tollo

March 19, 2025article en

5 citations

Abstract

No abstract available for this paper.

Regional Studies Regional ScienceVol. 12(1)

Universidad de Valladolid (ES), Università Iuav di Venezia (IT), Ca' Foscari University of Venice (IT), University of Sannio (IT)

Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación, European Social Fund

Sustainable cities and communities

Openalex Percentile: Top 2%

3D Surveying and Cultural Heritage

11.73

DOI Open Access PDF OpenAlex

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Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study — Federico Camerín, Francesco Gastaldi, et al. · Regional Studies Regional Science (2025) | TGRS Research Map | TGRS