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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 103275415X ISBN 13: 9781032754154
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Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032754168 ISBN 13: 9781032754161
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 103275415X ISBN 13: 9781032754154
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Add to basketPaperback. Condition: new. Paperback. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decades experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decades experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. 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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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Yang Wang is a professor at UTS Data Science Institute, leading advanced data analytics for smart infrastructure. Yang keeps actively engaged with industry partners and delivers innovative data-driven solutions for critical infrastructures includi.
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032754168 ISBN 13: 9781032754161
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Add to basketHardcover. Condition: new. Hardcover. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decades experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decades experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032754168 ISBN 13: 9781032754161
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.