Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Theory and Practice of Hazard Mitigation de

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Éditeur :

Springer


Collection :

Springer Transactions in Civil and Environmental Engineering

Paru le : 2020-07-29

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Description
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. 
Pages
469 pages
Collection
Springer Transactions in Civil and Environmental Engineering
Parution
2020-07-29
Marque
Springer
EAN papier
9789811557712
EAN PDF
9789811557729

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
22559 Ko
Prix
179,34 €
EAN EPUB
9789811557729

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
123965 Ko
Prix
179,34 €