There are several variables that influence the global solar radiation (GSR) prediction; thus,
determining the most significant parameters is an important task to achieve accurate …

This review presents and promotes preprocessing methods applied in electrochemistry prior
to data exploration, calibration and classification. Smoothing by digital filtering, baseline …

The optimum raising conditions to synthesis the high crystallinity carbon nanotubes (CNTs)
for improvement of their physical properties are presented in this study, thus, ANFIS has …

Fluctuation of wind speed affects wind energy systems since the potential wind power is
proportional the cube of wind speed. Hence precise prediction of wind speed is very …

As a nondestructive testing method, the Schmidt rebound hammer is widely used for
structural health monitoring. During application, a Schmidt hammer hits the surface of a …

We present a project management methodology designed for the selection of wind turbines
wake effect most influential parameters, who need to run wind farm project for large energy …

This paper reconsiders the precipitation concentration index (PCI) in Serbia using
precipitation measurements such as the mean winter precipitation amount, annual total …

To deal with the large number of malicious mobile applications (eg mobile malware), a
number of malware detection systems have been proposed in the literature. In this paper, we …

BACKGROUND: The limitations of current prognostic models in identifying postoperative
cardiac patients at risk of experiencing morbidity and subsequently an extended intensive …

In this research work, for the first time, the adaptive neuro fuzzy inference system (ANFIS) is
employed to propose an approach for identifying the most significant parameters for …