Litcius/Paper detail

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster

Haitham Abdulmohsin Afan, Ayman Yafouz, Ahmed H. Birima, Ali Najah Ahmed, Özgür Kişi, Barkha Chaplot, Ahmed El‐Shafie

2022Natural Hazards26 citationsDOI

Topics & Concepts

Mean squared errorStreamflowStratified samplingDeep learningComputer scienceSampling (signal processing)Flooding (psychology)Approximation errorArtificial intelligenceMachine learningStatisticsData miningAlgorithmMathematicsGeographyCartographyPsychotherapistDrainage basinPsychologyFilter (signal processing)Computer visionHydrological Forecasting Using AIFlood Risk Assessment and ManagementHydrology and Watershed Management Studies
Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster | Litcius