Industrial data sets are often contaminated with outliers due to sensor malfunctions, signal
interference, and other disturbances as well as interplay of various other factors. The effect …

In recent years, climate change has led to the phenomenon of global warming and the
ensuing depletion of groundwater resources. Therefore, to prevent the depletion of …

Precise estimation of river flow in catchment areas has a significant role in managing water
resources and, particularly, making firm decisions during flood and drought crises. In recent …

In this paper using generalized objective functions, within a probabilistic framework, a
unified view on robust data reconciliation is provided. Conditions for robustness as well as …

To date, the rainfall-runoff process is among the most significant and complicated
hydrological phenomena, regarding taking appropriate measures in terms of floods and …

The rise of industrial societies leads to higher greenhouse gas emissions, profoundly
affecting the climate in coastal regions. Consequently, air temperature readings from …

In this study, the hybrid support vector machine–artificial flora algorithm method was
developed and the obtained results were compared with those of the support vector–wave …

The reliable forecasting of river flow plays a key role in reducing the risk of floods. Regarding
nonlinear and variable characteristics of hydraulic processes, the use of data-driven and …

Process data are conventionally characterized by normal distribution and techniques based
on this assumption could suffer performance and efficiency losses when the assumption is …

Intelligent systems cover a wide range of technologies related to hard sciences, such as
modeling and control theory, and soft sciences, such as the artificial intelligence (AI) …