SediNet: a configurable deep learning model for mixed qualitative and quantitative optical granulometry
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DOI: 10.1002/esp.4760
Abstract: I describe a configurable machine-learning framework to estimate a suite of continuous and categorical sedimentological properties from photographic imagery of sediment, and to exemplify how machine learning can be a powerful and flexible tool for… read more here.
Keywords: model; grain size; optical granulometry;