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Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform

Mohammed Achite, Okan Mert Katipoğlu, Serkan Şenocak, Nehal Elshaboury, Ommolbanin Bazrafshan, Hüseyin Yıldırım Dalkılıç

2023Theoretical and Applied Climatology39 citationsDOI

Topics & Concepts

Support vector machineEvapotranspirationWaveletGround-penetrating radarMean squared errorComputer scienceMathematicsKrigingGaussian processStatisticsGaussianEnvironmental scienceArtificial intelligenceRadarTelecommunicationsPhysicsBiologyQuantum mechanicsEcologyHydrology and Drought AnalysisHydrological Forecasting Using AIClimate variability and models
Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform | Litcius