TY  - GEN
AB  - 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.
AU  - Deo, Ravinesh C.
AU  - Samui, Pijush,
AU  - Kisi, Ozgur.
AU  - Yaseen, Zaher Mundher.
CN  - GB5014
CY  - Singapore :
DA  - [2021]
DO  - 10.1007/978-981-15-5772-9
DO  - doi
ID  - 1431729
KW  - Hazard mitigation
KW  - Hazard mitigation
KW  - Catastrophes
KW  - Catastrophes
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5772-9
N2  - 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.
PB  - Springer,
PP  - Singapore :
PY  - [2021]
SN  - 9789811557729
SN  - 9811557721
SN  - 9811557713
SN  - 9789811557712
SN  - 9789811557736
SN  - 981155773X
SN  - 9789811557743
SN  - 9811557748
T1  - Intelligent data analytics for decision-support systems in hazard mitigation :theory and practice of hazard mitigation /
TI  - Intelligent data analytics for decision-support systems in hazard mitigation :theory and practice of hazard mitigation /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5772-9
ER  -