Despite the wide applications of artificial neural networks (ANNs) in modeling hydro-climatic
processes, quantification of the ANNs' performance is a significant matter. Sustainable …

Momentum exchange in the mixing region between the floodplain and the main channel is
an essential hydraulic process, particularly for the estimation of discharge. The current study …

Accurate wave forecasts are essential for the safe and efficient maritime operations and, in
particular, the maintenance of offshore wind farms. Here, machine learning and remote …

Cascade reservoirs are complex engineering systems. The operation of these reservoirs is
not only affected by external effects such as natural flow conditions but is also related to the …

The joint spatiotemporal modeling of aquifer level fluctuations provides a significant tool in
the prediction of groundwater levels at unvisited locations. Two types of variogram functions …

In this research, the trade-off between the number of restrictions and the robustness of the
primary formulation of entropy models was evaluated. The performance of six hydrodynamic …

Investment estimation is a key component of early decision-making for a construction
project, which is crucial to the project cost control. Currently, most investment estimation …

Hydro-informatics is generating information with computational models solved with
evolutionary algorithms for optimal water management. With evolution of Machine Learning …

Cloud computing and artificial intelligence have a deeper and closer connection with daily
life. To ensure information security, most companies or individuals choose to pay a simple …

Diante da necessidade do desenvolvimento de uma modelagem que leve em conta as
incertezas inerentes aos processos físicos que envolvem o fluxo de água e sedimento e que …