1. Deep learning hybrid model with boruta-random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity;Ahmed;J. Hydrol.,2021
2. Application of ANFIS and LR in prediction of scour depth in bridges;Akib;Comput. Fluids,2014
3. Time-resolved flow dynamics and Reynolds number effects at a wall-cylinder junction;Apsilidis;J. Fluid Mech.,2015
4. Arneson, L.A., Zevenbergen, L.W., Lagasse, P.F., Clopper, P.E., 2012. Evaluating scour at bridges. Hydraulic engineering circular no. 18, 5th ed.; 2012; pp. 1–340.
5. Neural network and neuro-fuzzy assessments for scour depth around bridge piers;Bateni;Eng. Appl. Artif. Intell.,2007