The world has been undergoing a global economic recession for almost two years because
of the health crisis stemming from the outbreak and its effects have still continued so far …

The viscosity (μ nf) is one of the influencing parameters in choosing that nanofluid (NF) that
affects its thermal behavior and heat transfer. In this regard, the present study is conducted …

This paper has scrutinized the process of testing market efficiency, data generation process
and the feasibility of market prediction with a detailed, coherent and statistical approach …

This paper proposes a machining performance prediction approach on multiple
performances of wire electrical discharge machining (WEDM) on Inconel 718. Artificial …

In the current study, price adjustment equation which takes an important place in market
equilibrium is presented in consideration of truncated M-derivative including Mittag-Leffler …

This study addresses the trend estimation of the participation indices (PARTI) in the Istanbul
Stock Exchange (BIST) using Markov chain (MC) theory. PARTI can be regarded as the …

Often, nonlinearity exists in the financial markets while Artificial Neural Network (ANN) could
be used to expect equity market returns for the next years. ANN has been improved its ability …

Bu çalışmada, BIST-Sınai Endeksi'nde yer alan 140 hisse senedinin 2010 yılına ait aylık
ortalama getirileri kullanılarak risk-getiri tahmini ve portföy optimizasyonu amaçlanmıştır. Bu …

Neural networks are widely used for exchange rate prediction. There are various
hyperparameters affecting the prediction performance. In this paper, experimental design …

In this study the trend estimation of the participation indices (PARTI) in the Istanbul Stock
Exchange (BIST) using artificial neural network (ANN) theory. PARTI can be regarded as the …