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Published by Taylor & Francis Ltd, 2025
ISBN 10: 103275415X ISBN 13: 9781032754154
Language: English
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 103275415X ISBN 13: 9781032754154
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 103275415X ISBN 13: 9781032754154
Language: English
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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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032754168 ISBN 13: 9781032754161
Language: English
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032754168 ISBN 13: 9781032754161
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 103275415X ISBN 13: 9781032754154
Language: English
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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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032754168 ISBN 13: 9781032754161
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
£ 76.63
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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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 184 pages. 9.19x6.13x9.21 inches. In Stock.