Electronic Resource

Structural Health Monitoring Based on Data Science Techniques

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Penilaian

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The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2008000165	EB0004263	005.7 Str	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title

Structural Integrity

Call Number

005.7 Str

Publisher

Switzerland : Springer Cham., 2022

Collation

xv, 484p.: Ill.

Language

English

ISBN/ISSN

978-3-030-81716-9

Classification

005.7

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Data structures (Computer science)

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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