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Urmia lake water depth modeling using extreme learning machine-improved grey wolf optimizer hybrid algorithm
Lake water level changes are relatively sensitive to the climate-born events that rely on numerous phenomena, e.g., surface soil type, adjacent groundwater discharge, and hydrogeological situations. By incorporating the ...
Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms
(Public Library of Science, 2021)
To reduce the problem of sedimentation in open channels, calculating flow velocity is critical. Undesirable operating costs arise due to sedimentation problems. To overcome these problems, the development of machine learning ...