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Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction
(Springer, 2021-03)
Suspended sediment load is a substantial portion of the total sediment load in rivers and plays a vital role in determination of the
service life of the downstream dam. To this end, estimation models are needed to compute ...
Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
(Elsevier, 2021-07)
Sediment transport modeling has been known as an essential issue and challenging task in water resources and environmental engineering. In order to minimize the adverse impacts of the continues sediment deposition that is ...
Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
(Elsevier, 2021)
Sediment transport modeling has been known as an essential issue and challenging task in water resources and environmental engineering. In order to minimize the adverse impacts of the continues sediment deposition that is ...
Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms
(2021)
Scour depth prediction and its prevention is one of the most important issues in channel and waterway design. However the potential for advanced machine learning (ML) algorithms to provide models of scour depth has yet to ...
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