Electronic Resource

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000741	EB0001321	363.346 Int	Central Library (OPAC)	Available

Detail Information

Series Title

Springer Transactions in Civil and Environmental Engineering

Call Number

363.346 Int

Publisher

Singapore : Springer Singapore., 2020

Collation

xx, 469p.:Ill

Language

English

ISBN/ISSN

978-981-15-5772-9

Classification

363.346

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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