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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 …

Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…

Çalışmamız; sosyal etkileşim, tekrarlayan davranışlar, kısıtlı ilgi alanları ve iletişim sorunu olarak ortaya çıkan ve ömür boyu devam eden bir gelişim bozukluğu olan Otizmin erken tanısı üzerine gerçekleştirilmiştir. Karar ağacı algoritmaları ile Otistik Spek…

Yüksek hacimli verilerin makine öğrenmesi (MÖ) ve derin öğrenme (DÖ) yöntem ve teknikleri ile işlenmesi için özel tasarlanmış donanımlara ihtiyaç duyulmaktadır. Bu donanımlar ihtiyaç sahipleri açısından önemli bir maliyet unsurudur. Özelikle, araştırmacı, eğit…

Bu çalışmada, 596 kayıt ve 31 sütundan oluşan veri setiyle R programlama dili üzerinde akciğer kanserinin ikili sınıflama başarısı test edilmiştir. İlk aşama veri setinin temizlemesi, boş değerlerin kaldırılması ve verilerin denetlenmesinden oluşmaktadır. Daha…

Bu çalışmanın temel amacı finansal tutum ile yaşam tatmini arasında bir ilişki olup olmadığının ampirik olarak tespit edilmesidir. Bununla birlikte, finansal tutum ve yaşam tatmini ölçeklerinin, yaş, cinsiyet ve eğitim durumu gibi demografik faktörler üzerinde…

Today, it is possible to access a lot of information by using medical imaging data (CT and MR). In recent years, CT and MR data have been processed and transferred to computer aided design (CAD) programs. In fact, these solid models modified in the CAD environ…

Wireless sensor network (WSN) is a distributed system usually comprising a set of autonomous sensors nodes. These sensors are physically small in size and are capable to communicate with each other and capable of conveying data to recipients. In a large number…

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

Biomedical Sciences are the technological disciplines that aim to explore methods to obtain, produce, reveal or produce information related to understand, model, monitor, diagnose, combat problems in human and/or animal bodies. Machine learning in biomedical t…

 P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

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…

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…

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 the fifth generation (5G), the traditional restrictions that limit the capacity of wireless communication must be overcome. Non-orthogonal multiple access (NOMA) is a promising solution capable of overcoming these constraints to meet the requirements of 5…

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

The study area is located between Kuloglu and Yaka Villages in the north of Boyabat District of Sinop Province. Paleozoic-Triassic aged Boyabat metamorphites are observed at the bottom of the study area. These metamorphites are composed of phyllite, sericite-c…

Furniture has a large share in all endstirisinde in the World and Turkey. People demand for furniture products is increasing day by day. Furniture manufacturers are curious about which furniture products are most demanded by customers. Although it is possible …

Çalışma, kronik hastalığı olan bireylerde yeti yitimi ve günlük yaşam aktivitelerinin belirlenmesi amacıyla yapılmıştır. Bu çalışma, bir üniversite hastanesinin dahili kliniklerinde tedavi gören araştırma kriterlerine uyan 300 hasta üzerinde tanımlayıcı nite…