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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…

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…

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 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…

Climate change and environmental concerns led the investors to search for environmentally sustainable and friendly investments. Green bonds market has emerged as a result of this need. This study aims to analyze this market focusing on market efficiency. Marke…

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…

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…

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 …

Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…

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…

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 …

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…

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 …

Bu çalışmada, frekans çözünürlüğünün (yankı çözünürlüğünün) R-MUSIC (Root-MUSIC, Çoklu Sinyal Sınıflandırma) ve ESPRIT (Rotasyonel Değişmezlik Tekniği ile İşaret Parametrelerinin Kestirimi) yöntemleri kullanılarak nasıl değiştiği incelenmiştir. Bu yöntemler,…

In recent years, significant improvements have been made in face transplants as well as organ transplants operations. It is also important to improve the adaptation process and quality of life of the patient after the transplant as well as the successful compl…

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

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 …

Dünyadaki ve Türkiye’deki teknolojik gelişmelere ve nüfus artışına bağlı olarak elektrik enerji tüketimi artmıştır. Bu artan enerji talebini karşılayabilmek için dünyadaki fosil tabanlı kaynakların yakın gelecekte tükeneceği ve çevreye verdiği zararlardan do…

Recently, the basis properties and eigenfunction expansions in various function spaces of the eigenfunction of the regular boundary value problems with spectral parameter in the boundary conditions have been investigated by many mathematicans. However in diff…

Plants encounter a variety of environmental stress factors that affect plant growth, fruit yield and quality. Stress factors cause physiological dysfunctions, ion imbalance, depression in photosynthesis, leading to growth reduction and decrease in fruit qual…