Browsing by Subject "Supervised Machine Learning"
Now showing items 1-2 of 2
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(2022-07-22)Observations of dissolved oxygen, salinity, temperature, and six different nutrient concentrations of the waters on the TXLA Shelf in the months of March – September in 2003 – 2014 were used in unsupervised and supervised ...
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(2014-08-06)In this study, the clinical potential of the endogenous multispectral Fluorescence lifetime imaging microscopy (FLIM) was investigated to objectively detect oral cancer. To this end, in vivo FLIM imaging was performed on ...