Floc size variability under strong turbulence: Observations and artificial neural network modeling
The flocculation of cohesive sediment in the presence of waves is investigated using high-
resolution field observations and a newly-developed flocculation model based on artificial …
resolution field observations and a newly-developed flocculation model based on artificial …
Predicting of shear wave velocity using Artificial Neural Networks
F Adjei, P Afare, T Osae - arxiv preprint arxiv:2011.12109, 2020 - arxiv.org
Shear wave velocity is an important parameter for determining lithology, porosity and the
dynamic properties in geo-mechanical studies. However, due to time and cost limitations …
dynamic properties in geo-mechanical studies. However, due to time and cost limitations …