Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
Author :
Publisher : Springer Nature
Total Pages : 477
Release :
ISBN-10 : 9789811557729
ISBN-13 : 9811557721
Rating : 4/5 (721 Downloads)

Book Synopsis Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation by : Ravinesh C. Deo

Download or read book Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation written by Ravinesh C. Deo and published by Springer Nature. This book was released on 2020-07-29 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation Related Books

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
Language: en
Pages: 477
Authors: Ravinesh C. Deo
Categories: Technology & Engineering
Type: BOOK - Published: 2020-07-29 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorolog
Recurrent Neural Networks
Language: en
Pages: 413
Authors: Amit Kumar Tyagi
Categories: Technology & Engineering
Type: BOOK - Published: 2022-08-08 - Publisher: CRC Press

DOWNLOAD EBOOK

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neur
Machine Learning and Granular Computing: A Synergistic Design Environment
Language: en
Pages: 355
Authors: Witold Pedrycz
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Computational Intelligence for Water and Environmental Sciences
Language: en
Pages: 547
Authors: Omid Bozorg-Haddad
Categories: Technology & Engineering
Type: BOOK - Published: 2022-07-08 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes
Climate Change and Water Resources in Mediterranean Countries
Language: en
Pages: 419
Authors: Hüseyin Gökçekuş
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK