In recent years, machine learning techniques, especially artificial neural networks (ANN), have been widely applied for engineering problems since they have proven to be a good predictor, especially in accurate weather ...

Text classification (TC) is a very crucial task in this century of high-volume text datasets. Feature selection (FS) is one of the most important stages in TC studies. In the literature, numerous feature selection methods ...

The relationship between economic growth (in terms of GDP) and renewable energy (RE) and nonrenewable energy (NRE) consumption was investigated in 20 countries featured on the Renewable Energy Country Attractiveness Index ...

In this paper, we aim a kinematic method to investigate the behavior of polarized light in an optical fiber. Geometric phase equations are obtained using elliptic quaternions. The behavior of polarized light is studied for ...

This paper aims to investigate the hyperbolically the motion of the polarization plane traveling along the linearly polarized light wave in the optical fiber via the hyperbolic split quaternion algebra. The motion of the ...

Objective: We aimed to compare the diagnostic efficiency of cystatin C with traditional kidney markers in preeclampsia and to evaluate the relationship of these markers with neutrophil-lymphocyte and thrombocyte-lymphocyte ...

This study evaluated different methods for geoid undulation prediction and included two types of artificial neural networks (ANNs) -the radial basis function neural network (RBFNN) and the generalized regression neural ...

In this study, the biological and morphological structure of the bone tissue of hydroxyapatite produced from synthetic and natural bone was investigated. For this purpose, a three-dimensional bioprinter was designed and ...

This paper provides a novel approach to the environmental and enviro-economic assessment of an SI engine at various loads (25Nm, 50Nm, 75 Nm, 100 Nm, and full load) using different fuel blends such as methanol-gasoline ...

Objective: During the COVID-19 pandemic, our diet and lifestyle have changed significantly. In this study, it was aimed to determine the changes in diet, body weight and Orthorexia Nervosa (ON) tendency in the pandemic. ...