Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 9811557748
• ISBN13: 9789811557743
• Release Date: July 2021
• Publisher: Springer
• Length: 469 Pages
• Weight: 1.50 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"