Item analysis is performed by developers as an integral part of the scale development process. Thus, items are excluded from the scale depending on the item analysis prior to the factor analysis. Existing item discrimination ...

Chaotic maps are effective in developing evolutionary algorithms (EAs) to avoid local optima and speed convergence. Because of this capability of chaotic maps, these maps have been hybridized with various optimization ...

The most effective way to communicate between the brain and electronic devices in the outside world is the brain-computer interface (BCI) systems. BCI systems use signals of being through neural activity in the brain to ...

Text classification is a very important topic in the current era due to the high volume of textual data and handling. Feature selection is one of the most important steps in text classification studies, as well as significantly ...

As the huge dimensionality of textual data restrains the classification accuracy, it is essential to apply feature selection (FS) methods as dimension reduction step in text classification (TC) domain. Most of the FS methods ...

The chef-based optimization algorithm (CBOA) is a human-based method inspired by the relationship between culinary students and chef instructors. The original CBOA does not have a process that separately controls population ...

In this study, a new approach called the reversed fixed point iteration method (RFPIM) is implemented to solve a class of fundamental partial differential equations, namely viscous and inviscid Burgers equations. The results ...

Neonatal diabetes mellitus (NDM) is a rare form of non-autoimmune diabetes usually diagnosed in the first 6months of life. Various genetic defects have been shown to cause NDM with diverse clinical presentations and variable ...

Equivalent circuit parameters of transformers are related to the condition of their windings. Information concerning winding deformations, failures, and temperature can be acquired by monitoring these parameters. Methods ...

Medical object detection is one of the important methods used in the detection and diagnosis of diseases. In this study, a solution was sought for a bias problem that was not noticed in the testing environment from object ...