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Structural Health Monitoring Based on Data Science Techniques (Hardcover, 1st ed. 2022) Loot Price: R4,318
Discovery Miles 43 180
Repayment Terms: R405 pm x 12*
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Structural Health Monitoring Based on Data Science Techniques (Hardcover, 1st ed. 2022): Alexandre Cury, Diogo Ribeiro, Filippo...

Structural Health Monitoring Based on Data Science Techniques (Hardcover, 1st ed. 2022)

Alexandre Cury, Diogo Ribeiro, Filippo Ubertini, Michael D. Todd

Series: Structural Integrity, 21

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Loot Price R4,318 Discovery Miles 43 180 | Repayment Terms: R405 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Structural Integrity, 21
Release date: October 2021
First published: 2022
Editors: Alexandre Cury • Diogo Ribeiro • Filippo Ubertini • Michael D. Todd
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 484
Edition: 1st ed. 2022
ISBN-13: 978-3-03-081715-2
Categories: Books > Computing & IT > Applications of computing > Databases > General
LSN: 3-03-081715-6
Barcode: 9783030817152

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