Titlebook: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation; Theory and Practice Ravinesh C. Deo,Pijush Samui,Zaher Mundh

在前面

,Modulation of Tropical Cyclone Genesis by Madden–Julian Oscillation in the Southern Hemisphere,h detrimental impacts on populations, wildlife, ecosystems, infrastructure, and the economy of developed as well as developing nations. Understanding the climatological behavior of TCs in relation to onsets, origin, and causal factors conductive to cyclogenesis can aid in the risk-management of cycl

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Intelligent Data Analytics for Time Series, Trend Analysis and Drought Indices Comparison,lysis technique to detect subtle changes in the drought index trends for natural hazard and disaster risk mitigation. The Standardised Precipitation-Evapotranspiration Index (SPEI), used in this chapter, is able to identify extreme drought events better than the Standardised Precipitation Index (SPI

HERTZ

Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with DiscrThis chapter proposes a novel intelligent data analytic method using extreme learning machines combined with discrete wavelet transform (ELM-DWT) to forecast intermittent streamflow. Daily streamflow data from Uzunkopru and Babaeski, Turkey are utilized. Model input combinations involving antecedent

Acquired

Systematic Integration of Artificial Intelligence Toward Evaluating Response of Materials and Strucs that associated with data intelligent analytics, also known as machine learning commonly is artificial intelligence (AI). With the hope of highlighting positive integration of AI, this chapter presents development of AI techniques capable of tracing response of construction materials and civil inf

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刚开始

Morphological Changes of Floodplain Reach of Jhelum River, India, from 1984 to 2018,. Four sets of satellite images (Landsat imagery) ranging from 1994 to 2018 at an interval of eight years have been employed to evaluate the changes in channel morphology for each time interval. The entire river stretch from Sangam to Baramulla has been divided into 13 segments (Segments .–.). The N

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ADAGE

Spatial Prediction of Landslide Susceptibility Using Random Forest Algorithm, modeling of landslide susceptibility. A total number of 78 landslide locations are identified using field survey, 55 of which are randomly selected to model landslide susceptibility and remaining 23 locations considered for model validation. Twelve predictor variables are selected: elevation, slope

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