LEADER 04792nam 22007935 450 001 9910483360203321 005 20251113200426.0 010 $a981-15-5772-1 024 7 $a10.1007/978-981-15-5772-9 035 $a(CKB)4100000011363734 035 $a(MiAaPQ)EBC6274741 035 $a(DE-He213)978-981-15-5772-9 035 $a(PPN)258088729 035 $a(EXLCZ)994100000011363734 100 $a20200729d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Data Analytics for Decision-Support Systems in Hazard Mitigation $eTheory and Practice of Hazard Mitigation /$fedited by Ravinesh C. Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (477 pages) $cillustrations 225 1 $aSpringer Transactions in Civil and Environmental Engineering,$x2363-7641 311 08$a981-15-5771-3 327 $aChapter 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. . 330 $aThis book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences. . 410 0$aSpringer Transactions in Civil and Environmental Engineering,$x2363-7641 606 $aComputational intelligence 606 $aFire prevention 606 $aBuildings$xProtection 606 $aEnvironment 606 $aMachine learning 606 $aWater 606 $aHydrology 606 $aBig data 606 $aComputational Intelligence 606 $aFire Science, Hazard Control, Building Safety 606 $aEnvironmental Sciences 606 $aMachine Learning 606 $aWater 606 $aBig Data 615 0$aComputational intelligence. 615 0$aFire prevention. 615 0$aBuildings$xProtection. 615 0$aEnvironment. 615 0$aMachine learning. 615 0$aWater. 615 0$aHydrology. 615 0$aBig data. 615 14$aComputational Intelligence. 615 24$aFire Science, Hazard Control, Building Safety. 615 24$aEnvironmental Sciences. 615 24$aMachine Learning. 615 24$aWater. 615 24$aBig Data. 676 $a346.73046917 702 $aDeo$b Ravinesh C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSamui$b Pijush$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKisi$b Ozgur$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYaseen$b Zaher Mundher$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483360203321 996 $aIntelligent Data Analytics for Decision-Support Systems in Hazard Mitigation$92850359 997 $aUNINA