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Condition: As New. Unread book in perfect condition.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Data Driven Methods For Civil Structural Health Monitoring And Resilience: Latest Developments And Applications
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032308389 ISBN 13: 9781032308388
US$ 116.64
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Add to basketPaperback. Condition: Brand New. 342 pages. 5.98x0.81x9.02 inches. In Stock.
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Condition: 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 .
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Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 152.13
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Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 153.66
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Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032308370 ISBN 13: 9781032308371
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 153.68
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience (Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 173.83
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Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Language: English
Published by Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032308389 ISBN 13: 9781032308388
Taschenbuch. Condition: 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.
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Add to basketHardcover. Condition: Brand New. 400 pages. 9.00x6.00x1.00 inches. In Stock.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032308389 ISBN 13: 9781032308388
Paperback. Condition: new. Paperback. 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. Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides an 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032308389 ISBN 13: 9781032308388
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Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides an 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032308389 ISBN 13: 9781032308388
Paperback. Condition: new. Paperback. 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. Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides an 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
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Data Driven Methods for Civil Structural Health Monitoring and Resilience
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 176.76
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketCondition: 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.
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Buch. Condition: 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.
