Predictive modeling of microbiological seawater quality classification in karst region using cascade model. (arXiv:2202.05664v1 [cs.LG])

In this paper, an in-depth analysis of Escherichia coli seawater measurements
during the bathing season in the city of Rijeka, Croatia was conducted.
Submerged sources of groundwater were observed at several measurement locations
which could be the cause for increased E. coli values. This specificity of
karst terrain is usually not considered during the monitoring process, thus a
novel measurement methodology is proposed. A cascade machine learning model is
used to predict coastal water quality based on meteorological data, which …

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