With excellent global approximation performance and interpretability, Takagi-Sugeno-Kang
(TSK) fuzzy systems have enjoyed a wide range of applications in various fields, such as …

Hydrologic models require atmospheric, dynamic and static models to simulate river flow
from catchments. Thus the accuracy of hydrologic modelling highly depends on the data …

Hydrologic models to simulate river flows are computationally costly. In addition to the
precipitation and other meteorological time series, catchment characteristics, including soil …

Hydropower stands as a crucial source of power in the current world, and there is a vast
range of benefits of forecasting power generation for the future. This paper focuses on the …

The Rainfall-Runoff (RR) relationship is essential to the hydrological cycle. Sophisticated
hydrological models can accurately investigate RR relationships; however, they require …

This study addresses the issue of soil cadmium pollution and the common problem of data
missing during the training of artificial neural network models. A substantial amount of …

Real-acting objects are characterized by the presence of various types of random
perturbations, which significantly reduce the quality of the control process, which determines …

Automated fruit identification is always challenging due to its complex nature. Usually, the
fruit types and sub-types are location-dependent; thus, manual fruit categorization is also still …

Accurate monthly runoff prediction is significant to extreme flood control and water resources
management. However, traditional statistical models without multi-variable input may fail to …

Emotion recognition from facial images is an important and active area of research. Facial
features are widely used in computer vision for emotion interpretation, cognitive science …