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In the present study, the effects of cutting parameters on surface roughness were investigated in order to determine the optimum machining conditions for the hot work tool steel (155 HB), which is an important part of the mold industry. For this purpose, the m…

A serial hybrid optical amplifier composing of two amplification stages of erbium-doped fiber (EDF) amplifier covered C-band window and Raman fiber amplifier (RFA) covered L band window demonstrated. In this paper, the optimizations were done to obtain the opt…

As the world is running out of fossil fuels and the environment is being seriously damaged by the combustion residuals of the internal combustion engines, the world countries have begun to search alternative ways for mobility. Lightweight electric vehicles w…

This paper presents a different approach for the optimal active power flow solution in multi-terminal AC-DC systems to minimize total active power generation cost. System constraints for all of the control and state variables of both AC and DC systems are also…

Optimal reactive power flow and economic power dispatch is very important in power systems. Optimal reactive power flow provides minimum active power loss and economic power dispatch provides minimum active power generation cost in power systems. This study pr…

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

Synchronous Reluctance Motors (SRMs) are defined as reliable electric motors. Although the history of this type of motor dates back a very long time, their usage areas have started to increase with the developments in power electronics in recent years. While t…

The hub location problem deals with locating hub facilities and allocating non-hub nodes to hub. Hub location problem is classified as p-hub median problem, p-hub center problem, hub covering problem and hub location problem with fixed cost in the literature. …

Spektrum algılamada amaç spektrum boşluklarının doğru ve hızlı bir şekilde algılanmasıdır. Bu nedenle bilişsel radyo ağlarının başarımı büyük ölçüde spektrum algılama işlevine bağlıdır. Bu çalışmada, bilişsel radyo ağlarında spektrum algılma başarımını artırma…

DIN 1.2344 sıcak iş takım çeliği; özel olarak içyapısı temizlenmiş, sünekliği ve tokluğu arttırılmış homojen mikroyapıya sahip, iyi ısıl kararlılığığa sahip olan yüksek ısıl şoklara dayanımlı bir çeliktir. Bu çelikler, ekstrüzyon kalıpları, dövme kalıpları, …

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…

In this paper, a different approach for the optimal active power flow solution in multi-terminal HVDC systems to minimize total active power generation cost is proposed. System constraints for all of the control and state variables of both AC and DC systems ar…

Nowadays, there are old and new methods that involve the difficult problems and solution suggestions which many researchers research and try to solve. In the field of engineering, the success rates of the methods that produce solutions to these problems are of…

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 …

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…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…