Isbn: 9789811557743 - intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation (springer transactions in civil and environmental engineering) (11 resultados)

Condición: New. In English.

Kartoniert / Broschiert. Condición: New.

Taschenbuch. Condición: Neu. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation | Theory and Practice of Hazard Mitigation | Ravinesh C. Deo (u. a.) | Taschenbuch | Springer Transactions in Civil and Environmental Engineering | xx | Englisch | 2021 | Springer | EAN 9789811557743 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Paperback. Condición: Brand New. 489 pages. 9.25x6.10x1.16 inches. In Stock.

Taschenbuch. Condición: 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.…

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 492 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.