Browsing A) Producción científica UCSC by Subject "Machine learning"
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A comparison of modeling techniques to predict hydrological indices in ungauged rivers
(2018)Predicting the natural flow regime in ungauged rivers is an important challenge in water resource management and ecological research. We developed models to predict 16 hydrological indices in a river network covering the ... -
FROG: A global machine-learning temperature calibration for branched GDGTs in soils and peats
(2022)wBranched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental settings. Nevertheless, it was previously ...