Intelligent Data Analytics for Decision-Support Systems in Hazard M...
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Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Theory and Practice of Hazard Mitigation

Ravinesh C. Deo, Ozgur Kisi, Pijush Samui, Zaher Mundher Yaseen


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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. 

About the book
Author
Ravinesh C.  Deo , Ozgur  Kisi , Pijush  Samui , Zaher Mundher  Yaseen
Imprint
Springer
Collection
Springer Transactions in Civil and Environmental Engineering
Publication date
2020-07-29
Pages
469 pages
Print ISBN
9789811557712
Language
English
Ebook informations
EAN PDF
9789811557729
Price
£159.50
Read more
Copy count 4
Print count 46
File size 22559 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9789811557729
Price
£159.50
Read more
Copy count 4
Print count 46
File size 123965 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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