Therefore, we list the CNN-based models out of the broader NN category (Figure ). The practical implications of CNN-based models are evident in drinking water research: They can interpret 2D fluorescence spectra and predict the formation of DBPs during disinfection , classify microbes using cell-level scattering images from drinking water , and identify cells in 3D drinking water biofilm images .