I have started exploring hydrogeomorphology of river catchments in northern hemispheres and looking for suggestions/reference articles focused on Machine Learning and Deep Learning based prediction of changes in channel morphology, suspended sediments, hydrological response of basin to climatic factors. A draft paper has methodology section has capacity to include the above mentioned technique, although physical hydrological models such as Hec HMS, HecRAS and SWAT have been used and I wanted to have a comparison between ML/DL based modelling and Physical hydrological modelling as well as totally remote sensing based extraction of hydrological characteristics.

Do reach me if you have interest in the domain.

Regards