Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images /

This book offers an in-depth investigation into the complexities of long-term structural health monitoring (SHM) in civil structures, specifically focusing on the challenges posed by small data and environmental and operational changes (EOCs). Traditional contact-based sensor networks in SHM produce...

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Detalles Bibliográficos

Autores principales:	Entezami, Alireza (Autor), Behkamal, Bahareh (Autor), De Michele, Carlo (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Lenguaje:	inglés
Publicado:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:	1st ed. 2024.
Colección:	PoliMI SpringerBriefs,
Materias:	Building materials. Machine learning. Buildings > Design and construction. Engineering > Data processing. Structural Materials. Machine Learning. Building Construction and Design. Data Engineering.
Acceso en línea:	https://doi.org/10.1007/978-3-031-53995-4
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