Intelligent Data Analytics for Decision Support Systems in Hazard Mitigation Theory and Practice of Hazard Mitigation 1st Edition by Ravinesh C Deo,Pijush Samui,Ozgur Kisi,Zaher Mundher Yaseen ISBN 9811557748 978-9811557743

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Product details:

ISBN 10: 9811557748 

ISBN 13: 978-9811557743

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

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.

Table of contents:

Cover
Front Matter
1. Drought Index Prediction Using Data Intelligent Analytic Models: A Review
2. Bayesian Markov Chain Monte Carlo-Based Copulas: Factoring the Role of Large-Scale Climate Indices in Monthly Flood Prediction
3. Gaussian Naïve Bayes Classification Algorithm for Drought and Flood Risk Reduction
4. Hydrological Drought Investigation Using Streamflow Drought Index
5. Intelligent Data Analytics Approaches for Predicting Dissolved Oxygen Concentration in River: Extremely Randomized Tree Versus Random Forest, MLPNN and MLR
6. Evolving Connectionist Systems Versus Neuro-Fuzzy System for Estimating Total Dissolved Gas at Forebay and Tailwater of Dams Reservoirs
7. Modulation of Tropical Cyclone Genesis by Madden–Julian Oscillation in the Southern Hemisphere
8. Intelligent Data Analytics for Time Series, Trend Analysis and Drought Indices Comparison
9. Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform
10. Systematic Integration of Artificial Intelligence Toward Evaluating Response of Materials and Structures in Extreme Conditions
11. Machine Learning to Derive Unified Material Models for Steel Under Fire Conditions
12. Energy Dissipation in Rough Chute: Experimental Approach Versus Artificial Intelligence Modeling
13. Morphological Changes of Floodplain Reach of Jhelum River, India, from 1984 to 2018
14. Spatial Modeling of Soil Erosion Susceptibility with Support Vector Machine
15. Spatial Prediction of Landslide Susceptibility Using Random Forest Algorithm
16. Artificial Neural Networks for Prediction of Steadman Heat Index
17. Daily Flood Forecasts with Intelligent Data Analytic Models: Multivariate Empirical Mode Decomposition-Based Modeling Methods
18. Machine Learning Method in Prediction Streamflow Considering Periodicity Component
19. Empirical Model for the Assessment of Climate Change Impacts on Spatial Pattern of Water Availability in Nigeria
20. Prediction of River Water Quality Parameters Using Soft Computing Techniques
21. Soft Computing Applications in Air Pollution Meteorology

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Tags: Ravinesh C Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen, Intelligent Data Analytics, for Decision Support, Systems in Hazard Mitigation