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