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Springer Intelligent Data Analytics For Decision-Support Systems In Hazard Mitigation
Springer Intelligent Data Analytics For Decision-Support Systems In Hazard Mitigation
Springer Intelligent Data Analytics For Decision-Support Systems In Hazard Mitigation

Springer Intelligent Data Analytics For Decision-Support Systems In Hazard Mitigation

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Intelligent Data Analytics for Decision-Support Systems in Hazard MitigationTheory and Practice of Hazard Mitigation\nAuthor(s): Ravinesh C. Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen\nFormat: Hardback\nPublisher: Springer Verlag, Singapore, Singapore\nImprint: Springer Verlag, Singapore\nISBN-13: 9789811557712, 978-9811557712\nSynopsis\nThis book highlights cutting-edge applications of machine learning techniquesfor disaster management by monitoring, analyzing, and forecasting hydro-meteorological [url] 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-maki.

Springer Intelligent Data Analytics For Decision-Support Systems In Hazard Mitigation

Intelligent Data Analytics for Decision-Support Systems in Hazard MitigationTheory and Practice of Hazard Mitigation\nAuthor(s): Ravinesh C. Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen\nFormat: Hardback\nPublisher: Springer Verlag, Singapore, Singapore\nImprint: Springer Verlag, Singapore\nISBN-13: 9789811557712, 978-9811557712\nSynopsis\nThis book highlights cutting-edge applications of machine learning techniquesfor disaster management by monitoring, analyzing, and forecasting hydro-meteorological [url] 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-maki.

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