Intelligent data analytics for decision-support systems in hazard mitigation : theory and practice of hazard mitigation / Ravinesh C. Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen, editors.
Deo, Ravinesh C.; Samui, Pijush, 1978-; Kisi, Ozgur.; Yaseen, Zaher Mundher.
2021
GB5014
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Intelligent data analytics for decision-support systems in hazard mitigation : theory and practice of hazard mitigation / Ravinesh C. Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen, editors.
ISBN
9789811557729 (electronic bk.)
9811557721 (electronic bk.)
9811557713
9789811557712
9789811557736 (print)
981155773X
9789811557743 (print)
9811557748
9789811557712 (print)
DOI
https://doi.org/10.1007/978-981-15-5772-9
Publication Details
Singapore : Springer, [2021]
Language
English
Description
1 online resource (477 pages)
Item Number
10.1007/978-981-15-5772-9 doi
10.1007/978-981-15-5
Call Number
GB5014
Dewey Decimal Classification
363.34/6
Summary
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.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Description based on print version record.
Added Author
Deo, Ravinesh C.
Samui, Pijush, 1978-
Kisi, Ozgur.
Yaseen, Zaher Mundher.
Series
Springer transactions in civil and environmental engineering.
Available in Other Form
Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation : Theory and Practice of Hazard Mitigation.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Chapter 1: Drought Index Prediction using Data Intelligent Analytic Models: A Review
Chapter 2: Bayesian Markov Chain Monte Carlo based copulas: Factoring the Role of Large-scale Climate Indices in Monthly Flood Prediction
Chapter 3: Gaussian Naive Bayes Classification Algorithm for Drought and Flood Risk Reduction
Chapter 4: Hydrological Drought Investigation using Streamflow Drought Index
Chapter 5: Intelligent Data Analytics Approaches for Predicting Dissolved Oxygen Concentration in River: Extremely Randomized Tree Vs Random Forest, MLPNN and MLR
Chapter 6: Evolving Connectionist Systems versus Neuro-Fuzzy System for Estimating Total Dissolved Gas at Forebay and Tailwater of Dams Reservoirs
Chapter 7: Modulation of Tropical Cyclone Genesis by Madden-Julian Oscillation in the Southern Hemisphere
Chapter 8: Intelligent Data Analytics for Time-series, Trend Analysis and Drought Indices Comparison
Chapter 9: Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform
Chapter 10: Systematic Integration of Artificial Intelligence Towards Evaluating Response of Materials and Structures in Extreme Conditions.

Browse Subjects

Show more subjects...

Statistics

from
to
Export