Description: Structural Health Monitoring Based on Data Science Techniques (Structural Integrity) [Paperback] Cury, Alexandre; Ribeiro, Diogo; Ubertini, Filippo and Todd, Michael D. Product Overview 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. Read more Details Publisher : Springer; 1st ed. 2022 edition (October 25, 2022) Language : English Paperback : 500 pages ISBN-10 : 3030817180 ISBN-13 : 83 Item Weight : 1.67 pounds Dimensions : 6.1 x 1.13 x 9.25 inches Best Sellers Rank: #12,525,643 in Books (See Top 100 in Books) #2,858 in Information Theory #6,040 in Database Storage & Design #7,475 in Artificial Intelligence (Books) #2,858 in Information Theory #6,040 in Database Storage & Design We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 3030817180
ISBN10: 3030817180
ISBN13: 9783030817183
EAN: 9783030817183
MPN: does not apply
Brand: Springer
GTIN: 09783030817183
Number of Pages: Xv, 484 Pages
Publication Name: Structural Health Monitoring Based on Data Science Techniques
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2022
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / General
Type: Textbook
Item Weight: 26.8 Oz
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Diogo Ribeiro
Series: Structural Integrity Ser.
Item Width: 6.1 in
Format: Trade Paperback