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001431729 020__ $$a9789811557729$$q(electronic bk.)
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001431729 0247_ $$a10.1007/978-981-15-5772-9$$2doi
001431729 0248_ $$a10.1007/978-981-15-5
001431729 035__ $$aSP(OCoLC)1182863713
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001431729 049__ $$aISEA
001431729 050_4 $$aGB5014
001431729 08204 $$a363.34/6$$223
001431729 24500 $$aIntelligent data analytics for decision-support systems in hazard mitigation :$$btheory and practice of hazard mitigation /$$cRavinesh C. Deo, Pijush Samui, Ozgur Kisi, Zaher Mundher Yaseen, editors.
001431729 260__ $$aSingapore :$$bSpringer,$$c[2021]
001431729 300__ $$a1 online resource (477 pages)
001431729 336__ $$atext$$btxt$$2rdacontent
001431729 337__ $$acomputer$$bc$$2rdamedia
001431729 338__ $$aonline resource$$bcr$$2rdacarrier
001431729 347__ $$atext file
001431729 347__ $$bPDF
001431729 4901_ $$aSpringer Transactions in Civil and Environmental Engineering
001431729 5050_ $$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.
001431729 506__ $$aAccess limited to authorized users.
001431729 520__ $$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.
001431729 588__ $$aDescription based on print version record.
001431729 650_0 $$aHazard mitigation$$xData processing.
001431729 650_0 $$aHazard mitigation$$xDecision making.
001431729 650_6 $$aCatastrophes$$xRéduction$$xInformatique.
001431729 650_6 $$aCatastrophes$$xRéduction$$xPrise de décision.
001431729 655_0 $$aElectronic books.
001431729 7001_ $$aDeo, Ravinesh C.
001431729 7001_ $$aSamui, Pijush,$$d1978-
001431729 7001_ $$aKisi, Ozgur.
001431729 7001_ $$aYaseen, Zaher Mundher.
001431729 77608 $$iPrint version:$$aDeo, Ravinesh C.$$tIntelligent Data Analytics for Decision-Support Systems in Hazard Mitigation : Theory and Practice of Hazard Mitigation.$$dSingapore : Springer Singapore Pte. Limited, ©2020$$z9789811557712
001431729 830_0 $$aSpringer transactions in civil and environmental engineering.
001431729 852__ $$bebk
001431729 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5772-9$$zOnline Access$$91397441.1
001431729 909CO $$ooai:library.usi.edu:1431729$$pGLOBAL_SET
001431729 980__ $$aBIB
001431729 980__ $$aEBOOK
001431729 982__ $$aEbook
001431729 983__ $$aOnline
001431729 994__ $$a92$$bISE