Imagen de Portada

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...

Descripción completa

Guardado en:
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
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Ejemplares similares