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Springer Structural Health Monitoring Based on Data Science Techniques: 21 (Structural Integrity, 21)

Name: Structural Health Monitoring Based on Data Science Techniques: 21 (Structural Integrity, 21)
Brand: Springer

AI & Machine Learning

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Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3030817180
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 25 October 2022
Listed Since: 28 September 2022

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Springer Structural Health Monitoring Based on Data Science Techniques: 21 (Structural Integrity, 21)

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