Litcius/Paper detail

Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States

Tao Hai, Sinan Q. Salih, Atheer Y. Oudah, Sani I. Abba, Ameen Mohammed Salih Ameen, Salih Muhammad Awadh, Omer A. Alawi, Reham R. Mostafa, U. Surendran, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

2022Environmental Science and Pollution Research40 citationsDOI

Topics & Concepts

Computer scienceDecision treeBoosting (machine learning)Random forestPredictabilitySTREAMSGradient boostingArtificial intelligenceGridMachine learningDispersion (optics)Data miningStatisticsMathematicsGeometryPhysicsOpticsComputer networkHydrology and Watershed Management StudiesHydrological Forecasting Using AIHydrology and Sediment Transport Processes
Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States | Litcius