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

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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

Format
paperback
Domain
Amazon UK
Release Date
25 October 2022
Listed Since
28 September 2022

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