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A novel approach to forecast water table rise in arid regions using stacked ensemble machine learning and deep artificial intelligence models

Hussam Eldin Elzain, Osman Abdalla, Ali Al‐Maktoumi, A. R. Kacimov, Mohamed M. Eltayeb

2024Journal of Hydrology31 citationsDOI

Topics & Concepts

Feature engineeringArtificial intelligenceFlooding (psychology)Machine learningArtificial neural networkComputer sciencePredictive modellingFlood mythFeature (linguistics)Deep learningWater resourcesPsychologyTheologyLinguisticsEcologyPsychotherapistPhilosophyBiologyHydrological Forecasting Using AIFlood Risk Assessment and ManagementHydrology and Watershed Management Studies
A novel approach to forecast water table rise in arid regions using stacked ensemble machine learning and deep artificial intelligence models | Litcius