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Intelligent Data Analytics for Decision-support Systems in Hazard Mitigation : Theory and Practice of Hazard Mitigation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation (Springer Transactions in Civil and Environmental Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 162.02
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Intelligent Data Analytics for Decision-support Systems in Hazard Mitigation : Theory and Practice of Hazard Mitigation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation : Theory and Practice of Hazard Mitigation
Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811557713 ISBN 13: 9789811557712
Language: English
£ 174.52
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights cutting-edge applications of machine learning techniquesfor disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.
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£ 183.56
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Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
Published by Springer Nature Singapore, Springer Nature Singapore Jul 2020, 2020
ISBN 10: 9811557713 ISBN 13: 9789811557712
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 171.25
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Add to basketBuch. Condition: Neu. Neuware -This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch.
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Hardcover. Condition: Brand New. 489 pages. 9.25x6.10x1.06 inches. In Stock.
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Hardcover. Condition: New. New. book.
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£ 144.51
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents novel applications of artificial neural networks to design practical alert systems for natural hazardsOffers concise theories and case studies on advanced data analytics for real-life decision support systems.
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Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
Published by Springer Nature Singapore Jul 2020, 2020
ISBN 10: 9811557713 ISBN 13: 9789811557712
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 171.25
Convert currency£ 9.50 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights cutting-edge applications of machine learning techniquesfor disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences. 492 pp. Englisch.
