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Daisuke Sugawara

Biographic Data

ID9438378
NAMEDaisuke Sugawara
GIVEN NAMESDaisuke
FAMILY NAMESugawara
SIGNATURESUGAWARA D
AFFILIATIONSTohoku University
ORCID0000-0003-0025-4011
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • 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…

No prominent works on this page.

  • 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…

Artificial Intelligence (1 work) · Computer Science (1 work) · earthquake and tectonic studies (1 work) · Earthquake and Tsunami Effects (1 work) · Engineering (1 work) · Forensic engineering (1 work) · Geography (1 work) · Mathematics (1 work) · Tropical and Extratropical Cyclones Research (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