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Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Abstract: We applied machine learning models to analyze daily sediment discharge at the Shanlin Bridge station on the Quishan River in southern Taiwan. The data was collected from 2008 through 2018.