Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 68,30
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 84,35
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 98,82
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Da: moluna, Greven, Germania
EUR 69,01
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Mohammad Noori is a professor of mechanical engineering at California Polytechnic State University, San Luis Obispo a fellow and life member of the American Society of Mechanical Engineering (ASME) and a recipient of the Japan Society .
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 129,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 133,29
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 138,71
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 130,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 132,18
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032308389 ISBN 13: 9781032308388
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 85,39
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 132,19
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 148,39
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 152,14
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 192,00
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 400 pages. 9.00x6.00x1.00 inches. In Stock.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 155,16
Quantità: Più di 20 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 128,50
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers. 358 pp. Englisch.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 151,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 113,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mohammad Noori is a professor of Mechanical Engineering at Cal Poly, San Luis Obispo, a Fellow and Life Member of the American Society of Mechanical Engineering and a recipient of the Japan Society for Promotion of Science Fellowship. His work in nonline.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 143,00
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.