ENGLISH

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation

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

Book information

Publisher
Springer Singapore;Springer
Year
2021
ISBN
9789811557712, 9789811557729
DOI
10.1007/978-981-15-5772-9
Language
english
Format
PDF
Filesize
22 MB (22918633 bytes)
Series
Springer Transactions in Civil and Environmental Engineering
Edition
1st ed.
Pages
XX, 469\477
Time added
2021-01-06 05:41:07
Building Safety; Environmental Science and EngineeEngineering; Computational Intelligence; Fire ScieHazard Control

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.

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