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Global Software Development (GSD) brings together teams from diverse regions and cultural backgrounds, allowing for the pooling of varied expertise and perspectives. However, this international collaboration often comes with significant challenges, such as com…

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

This study was carried out in the pure oriental beech forests of Yenice-Kızılkay in the Western Black Sea Region of Turkey, where the changes in the number of side roots and the changes in the height and diameter of the beech trees were examined in three diffe…

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

In this study, the effect of using a mixture of butanol and diesel fuel in a small diesel engine on engine performance and exhaust emissions is modeled. A comparison has been made with artificial neural networks, which is an up-to-date method, and multiple l…

A central composite design is a good choice for a spherical design region while providing high-quality predictions over the entire spherical design region. However, this design requires design variable settings outside the range of the design variables in the …

Generally, it is limited to obtain all kinds of data for determining of variables which distributed points in any area. Estimates are made from this data for unsampled locations. Thus, the spatial properties of an examined variable are defined all over the are…

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

The integration of increasing renewable energy-based energy production into the existing electricity grid has become of great importance. The biggest difficulty to integration into the power grid is variability and discontinuity of wind energy. To deal with th…

Density functional theory (DFT) is a computational quantum mechanical modelling method used in physics, chemistry and materials science to investigate the electronic structure (principally the ground state) of many-body systems, in particular atoms, molecule…

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …

It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…

Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…

Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For…

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

To investigate how foreign trade deficits and budget deficits of Turkey navigated pre and post customs union (CU) with European Union. In the study, for the budget deficits (BD), General Directorate of Budget and Fiscal Control (BUMKO) and also for the foreign…

Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …