The utilization of machine learning technology in the preservation and analysis of cultural heritage enables the retrieval of information that would otherwise be lost. Machine learning models, indeed, enable the most precise predictions that can be made. This method can be applied to material culture, such as the lithic industry, pottery, or bone tools of prehistoric societies. It allows us to predict the original artifacts dimensions of artifacts that are incomplete or damaged. Machine learning applied to cultural heritage thus emerges as an innovative and complementary tool for Archaeological sciences.

Ground-Penetrating Radar (GPR) and Artificial Intelligence (AI) for cultural-heritage applications / Troiano, M.; Nobile, E.; Mastrogiuseppe, M.; Mangini, F.; Simeoni, P.; Conati Barbaro, C.; Frezza, F.. - (2024). (Intervento presentato al convegno Workshop Sharescience 2024 tenutosi a Roma).

Ground-Penetrating Radar (GPR) and Artificial Intelligence (AI) for cultural-heritage applications

M. Troiano;E. Nobile;M. Mastrogiuseppe;F. Mangini;P. Simeoni;C. Conati Barbaro;F. Frezza
2024

Abstract

The utilization of machine learning technology in the preservation and analysis of cultural heritage enables the retrieval of information that would otherwise be lost. Machine learning models, indeed, enable the most precise predictions that can be made. This method can be applied to material culture, such as the lithic industry, pottery, or bone tools of prehistoric societies. It allows us to predict the original artifacts dimensions of artifacts that are incomplete or damaged. Machine learning applied to cultural heritage thus emerges as an innovative and complementary tool for Archaeological sciences.
2024
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1702860
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact