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Education systems are facing many challenges today. Information technologies and the nature of work have been changing rapidly and redefining the concepts of training and workforce. Professions will evolve and some of the jobs we know today will disappear in…

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…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

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…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

Yapay sinir ağları makine öğrenmesi alanında birçok problemin çözümünde sıklıkla kullanılmaktaydı. Fakat “Yapay Zeka Kışı” olarak da adlandırılan dönemde ilk olarak donanımsal kısıtlamalar ve diğer problemler sebebiyle bu alandaki çalışmalar durma noktasına ge…

Based on the crucial role of vocabulary in language education, the present study set out to examine preservice EFL teachers views on learning and teaching vocabulary. The main aim in so doing is to enhance teacher education programs in terms of more effective…

With the rapid development of technology and the importance of electronic devices in our lives, electromagnetic waves produced by various sources and the related electromagnetic pollution concepts have become an important issue that directly affects the nature…

Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…

In this study, the accelerations caused by the diaphragm movements during respiration were monitored with a 3-axis accelerometer and the measured accelerations were recorded on an SD card. A measurement system for this purpose was developed. The moments in whi…

In this study, mathematical modeling of outer rotor brushless direct current motor (BLCD) is performed. Brushless direct current motor is highly preferred in industrial applications when compared the other motor types with considering advantages and disadvanta…

Bu bildiride, ileri beslemeli tek gizli katmanlı yapay sinir ağları için donanım uygulamasına uyumlu olan ve seyrek düzenlileştirilmiş bir aşırı öğrenme makinası (ELM) algoritması sunulmaktadır. Önerilen algoritma, düzenlileştirme için genelleştirilmiş minimak…

We are at a time when electronic systems are structured in a manner similar to the human brain.The memristor, a neuromorphic circuit designed by Chua in 1971, is a modeling of synaptic learning and associative learning. Neuromorphic circuit elements and memris…

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

Güç sisteminde akım ve gerilimin dalga formunun sinüsoidal formda olması gerekir. Fakat bu her zaman mümkün olmaz. Non-sinüsoidal gerilim veya elemanlar güç sisteminde harmoniklerin oluşmasına sebeb olur. Harmonikler güç sisteminde, ek ısıl kayıplara, rezona…

Universities play a key role in the cultural and economic development of countries. It also provides necessary and useful information to the community. Industry university collaborations are essential for the emergence and diffusion of innovations. For these r…

Today, artificial intelligence, which has been used in all areas of life, has been used effectively in real estate housing market researches. Artificial intelligence, one of the techniques of artificial intelligence, inspired by the working principle of human …