Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Mario Di Bacco

Biographic Data

ID9438377
NAMEMario Di Bacco
GIVEN NAMESMario
FAMILY NAMEDi Bacco
SIGNATUREDI BACCO M
AFFILIATIONSUniversity of Florence
ORCID0000-0002-2483-3977
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS72
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Towards multi-variable tsunami damage modeling for coastal roads

    Open Access•Mario Di Bacco, James H Williams et al.•ARTICLE•Sustainable Cities and Society•2024

    Novel machine-learning approach for assessing tsunami-induced road damage. • Multi-variable nature of tsunami damage mechanisms to roads. • Traditional fragility functions may not fully capture complex damage mechanisms. • Geospatial analysis can support in retrieving features to enhance model accuracy. The accurate assessment of tsunami-induced damage to coastal roads is crucial for effective disaster risk management. Traditional approaches, rel…

  • Regional flood risk analysis for agricultural crops

    Open Access•Anna Rita Scorzini, Mario Di Bacco et al.•ARTICLE•International Journal of Disaster…•2021

  • Biology and Body Size in Human Evolution

    Richard J Smith, Gene H Albrecht et al.•ARTICLE•Current Anthropology•1996•Cited by: 72

  • Biology and Body Size in Human Evolution

    Richard J Smith, Gene H Albrecht et al.•ARTICLE•Current Anthropology•1996•Cited by: 72

  • Biology and Body Size in Human Evolution

    Richard J Smith, Gene H Albrecht et al.•ARTICLE•Current Anthropology•1996•Cited by: 72

  • Regional flood risk analysis for agricultural crops

    Open Access•Anna Rita Scorzini, Mario Di Bacco et al.•ARTICLE•International Journal of Disaster…•2021

  • Towards multi-variable tsunami damage modeling for coastal roads

    Open Access•Mario Di Bacco, James H Williams et al.•ARTICLE•Sustainable Cities and Society•2024

    Novel machine-learning approach for assessing tsunami-induced road damage. • Multi-variable nature of tsunami damage mechanisms to roads. • Traditional fragility functions may not fully capture complex damage mechanisms. • Geospatial analysis can support in retrieving features to enhance model accuracy. The accurate assessment of tsunami-induced damage to coastal roads is crucial for effective disaster risk management. Traditional approaches, rel…

Computer Science (2 works) · Engineering (2 works) · Geography (2 works) · Mathematics (2 works) · Agriculture (1 work) · Artificial Intelligence (1 work) · Bat Biology and Ecology Studies (1 work) · Biology (1 work) · Business (1 work) · earthquake and tectonic studies (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae