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Hiba Baroud

Biographic Data

ID6772582
NAMEHiba Baroud
GIVEN NAMESHiba
FAMILY NAMEBaroud
SIGNATUREBAROUD H
AFFILIATIONSVanderbilt University
ORCID0000-0003-3641-6449
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Can socio-economic indicators of vulnerability help predict spatial variations in the duration and severity of power outages due to tropical cyclones

    Open Access•Paul M Johnson, Paul Johnson et al.•ARTICLE•Environmental Research Letters•2024

    Tropical cyclones are the leading cause of major power outages in the U.S., and their effects can be devastating for communities. However, few studies have holistically examined the degree to which socio-economic variables can explain spatial variations in disruptions and reveal potential inequities thereof. Here, we apply machine learning techniques to analyze 20 tropical cyclones and predict county-level outage duration and percentage of custom…

  • Planning for temporary housing through multicriteria decision analysis

    Open Access•Daniel V Perrucci, Mohamed Muse Hassan et al.•ARTICLE•Journal of Housing and the Built…•2022•Cited by: 1•References: 3

  • Cyber-Physical technologies in freight operations and sustainability

    Open Access•Amirhassan Kermanshah, Hiba Baroud et al.•ARTICLE•Sustainable Cities and Society•2020

  • Planning for temporary housing through multicriteria decision analysis

    Open Access•Daniel V Perrucci, Mohamed Muse Hassan et al.•ARTICLE•Journal of Housing and the Built…•2022•Cited by: 1•References: 3

  • Cyber-Physical technologies in freight operations and sustainability

    Open Access•Amirhassan Kermanshah, Hiba Baroud et al.•ARTICLE•Sustainable Cities and Society•2020

  • Planning for temporary housing through multicriteria decision analysis

    Open Access•Daniel V Perrucci, Mohamed Muse Hassan et al.•ARTICLE•Journal of Housing and the Built…•2022•Cited by: 1•References: 3

  • Can socio-economic indicators of vulnerability help predict spatial variations in the duration and severity of power outages due to tropical cyclones

    Open Access•Paul M Johnson, Paul Johnson et al.•ARTICLE•Environmental Research Letters•2024

    Tropical cyclones are the leading cause of major power outages in the U.S., and their effects can be devastating for communities. However, few studies have holistically examined the degree to which socio-economic variables can explain spatial variations in disruptions and reveal potential inequities thereof. Here, we apply machine learning techniques to analyze 20 tropical cyclones and predict county-level outage duration and percentage of custom…

Computer Science (3 works) · Economics (3 works) · Business (2 works) · Engineering (2 works) · Marketing (2 works) · Actuarial science (1 works) · Civil engineering (1 works) · Computer security (1 works) · Disaster Management and Resilience (1 works) · Duration (music (1 works)

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