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Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation

For the purpose of maintaining and prolonging the service life of civil constructions, structural damage must be closely monitored. Monitoring the incidence, formation, and spread of damage is crucial to ensure a structure’s ongoing performance. This research proposes a unique approach for multiclas...

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Detalles Bibliográficos
Autores principales: Santaniello, Pasquale, Russo, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347147/
https://www.ncbi.nlm.nih.gov/pubmed/37448001
http://dx.doi.org/10.3390/s23136152