Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models

M Pandey, M Jamei, I Ahmadianfar, M Karbasi… - Journal of …, 2022 - Elsevier
Spur dike has been widely used as one of the river training structures to increase the
stability of riverbanks and embankments. Scour around spur dikes affects their hydraulic …

[HTML][HTML] Optimization of flow behavior models by genetic algorithm: A case study of aluminum alloy

S Li, W Chen, S Jain, D Jung, J Lee - Journal of Materials Research and …, 2024 - Elsevier
Prediction of the flow stress of materials using a flow constitutive model provides strong
support for engineering practice and promotes the continuous development of aluminum …

Relating groundwater levels with meteorological parameters using ANN technique

M Iqbal, UA Naeem, A Ahmad, U Ghani, T Farid - Measurement, 2020 - Elsevier
In this study, the groundwater occupied within the boundaries of River Ravi and River Sutlej
was investigated by using artificial neural networks (ANN) by using the meteorological …

Efficient data-driven machine learning models for scour depth predictions at sloping sea defences

MA Habib, S Abolfathi, JJ O'Sullivan… - Frontiers in Built …, 2024 - frontiersin.org
Seawalls are critical defence infrastructures in coastal zones that protect hinterland areas
from storm surges, wave overtopping and soil erosion hazards. Scouring at the toe of sea …

Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on …

A Gholami, H Bonakdari, I Ebtehaj, M Mohammadian… - Measurement, 2018 - Elsevier
Measuring the bank profile shape when bank sediment particles are undergoing incipient
motion (threshold) is notable for researchers. In the present study, an advanced laser gauge …

A modified back propagation artificial neural network model based on genetic algorithm to predict the flow behavior of 5754 aluminum alloy

C Huang, X Jia, Z Zhang - Materials, 2018 - mdpi.com
In order to predict flow behavior and find the optimum hot working processing parameters for
5754 aluminum alloy, the experimental flow stress data obtained from the isothermal hot …

A machine learning methodology for predicting geothermal heat flow in the Bohai Bay Basin, China

J He, K Li, X Wang, N Gao, X Mao, L Jia - Natural Resources Research, 2022 - Springer
Geothermal heat flow (GHF), which contains integrated information on geothermal gradient,
thermal conductivity, and heat productivity of rocks as well as crustal/mantle heat flow, is a …

Application of gradient tree boosting regressor for the prediction of scour depth around bridge piers

BM Sreedhara, AP Patil, J Pushparaj… - Journal of …, 2021 - iwaponline.com
Scour around bridge piers is a complex phenomenon and it is essential to assess or predict
the scour hazard around bridge piers in tandem with completely understanding its …

Application of ANFIS–PSO hybrid algorithm for predicting the dimensions of the downstream scour hole of ski-jump spillways

MRG Nou, M Zolghadr, MS Bajestan… - Iranian Journal of …, 2021 - Springer
Ski-jump spillway (SJS) is one of the energy-dissipating structures, passing the flood
through the dams. In these structures, the downstream bed is scoured due to the collision of …

Hydrodynamics of river-channel confluence: toward modeling separation zone using GEP, MARS, M5 Tree and DENFIS techniques

O Kisi, P Khosravinia, MR Nikpour… - … Research and Risk …, 2019 - Springer
Hydrodynamics of confluence as a natural component in river-channel networks is
complicated. Having sufficient knowledge about erosion and sedimentation in the river …