Imaxe 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...

Descrición completa

Gardado en:
Detalles Bibliográficos
Main Authors: Entezami, Alireza (Author), Behkamal, Bahareh (Author), De Michele, Carlo (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Series:PoliMI SpringerBriefs,
Subjects:
Building materials.
Machine learning.
Buildings > Design and construction.
Engineering > Data processing.
Structural Materials.
Machine Learning.
Building Construction and Design.
Data Engineering.
Acceso en liña:https://doi.org/10.1007/978-3-031-53995-4
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Sistema en mantemento

O noso Sistema de Biblioteca atópase en mantemento

Neste momento non hai información de existencias e dispoñibilidade de copias. Por favor acepte as nosas desculpas polos inconvenientes causados, contacte connosco para unha maior información

library@juniv.edu

Internet

https://doi.org/10.1007/978-3-031-53995-4

Títulos similares