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portada Structural Health Monitoring Based on Data Science Techniques
Type
Physical Book
Publisher
Author
Language
English
Pages
484
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.7 cm
Weight
0.88 kg.
ISBN13
9783030817152
Categories

Structural Health Monitoring Based on Data Science Techniques

Cury, Alexandre ; Ribeiro, Diogo ; Ubertini, Filippo (Author) · Springer · Hardcover

Structural Health Monitoring Based on Data Science Techniques - Cury, Alexandre ; Ribeiro, Diogo ; Ubertini, Filippo

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Synopsis "Structural Health Monitoring Based on Data Science Techniques"

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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