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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…

Bu çalışmada, gezici robotun verilen sahayı tam gezinmesi problemi Çinli Postacı Problemine benzetilerek çözülmeye çalışılmış, çözümün eşleşme adımına Yapay Arı Kolonisi Algoritması ile çözüm bulunmaya çalışılmıştır. Haritalanmış sahanın grafının tek derecel…

Bu çalışmanın amacı, yazılım projelerinin geliştirilmesinde ve geliştirilen projeden en iyi verimin elde edilmesine büyük katkılar sağlayan, yazılım projesi geliştirme süreçlerindeki risk yönetiminin incelenmesidir. Ayrıca Yazılım proje geliştirme aşamaları …

Mining environments have faced with serious fatalities related to works, workplaces and workers as a consequence of their accident-prone processes. Underground mining stands in the first place in terms of being a hazardous industry worldwide. Due to risks invo…

Bilişsel radyo kullanılmayan ya da az kullanılan spektrum bantlarına dinamik olarak erişim olanağı sağlayan ve kullanıcılar arasında herhangi bir olumsuzluğa neden olmadan spektrum paylaşımını gerçekleştiren yazılım tabanlı bir teknolojidir. Kablosuz haberleşm…

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 …

Bilgi ve iletişim teknolojisindeki büyük gelişmelerin bilgisayar kullanımını ve uygulamalı eğitimi zorunlu kıldığı bir zamanda yaşamaktayız. Bu çalışmada, bilgisayar laboratuvarı sınıflarında rutin yoklama işleminin görüntü işleme tekniklerinden yüz tanıma ile…

Fins are basic structures which can be easily added to many engineering designs to improve heat transfer from hot surfaces. The addition of a fin to a particular heated surface can significantly increase the cooling at no extra cost. In some cases, standard fi…

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…

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…

Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…

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…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

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…

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 …

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…

Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…

Sınavlarda ölçme aracı olarak kullanılan açık uçlu sorulardan oluşan sınavlarda yansız puanlama önemlidir. Açık uçlu sorular, öğrencilere kendilerini özgür bir biçimde ifade etme olanağı sunmakta ve çeşitli becerilerin farkındalığına imkân sunmaktadır. Ayrıca …

One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…