Dettagli dell'autore

Uva, Giuseppina, Dipartimento Dicatech, Politecnico di Bari, Bari

  • ANIDIS XIX & ASSISi XVII - 2022 - SS13_ANIDIS_Automation and AI methodologies in design, analysis, monitoring and risk assessment processes of structures
    Using machine learning approaches to perform defect detection of existing bridges
    Sommario
  • ANIDIS XX - 2025 - SS17 - Advances in Structural Health Monitoring for Masonry Structures
    EFFICIENT NONLINEAR SEISMIC MODELLING OF MASONRY ARCH BRIDGES USING CALIBRATED SIMPLIFIED FE MODELS
    Sommario