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Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For…

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…

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 …

Bu makalede, dört pervaneli bir insansız hava aracı (DPİHA) için tasarlanan duruş ve yükseklik kontrolörlerinin parametrelerinin optimizasyonunu gerçekleştirilmiştir. PID kontrolörlerinin uygun parametrelerinin belirlemek için ZieglerNichols (ZN) Yöntemi, Parç…

Bu çalışmada Yapay Arı Koloni optimizasyon algoritmalarının üç varyantı sürü robotların hedef bulma probleminde kullanılmıştır. Yapay arı kolonisi optimizasyon algoritmalarının Unity 3D ortamında simülasyonunu gerçekleştiren yazılım geliştirilmiştir. Sürü ro…

Optimal operation of the power systems is very important. In this paper, a new approach for both the economic active power flow and active power loss minimization in multi-terminal HVDC systems is proposed. In the proposed optimization approach, system constra…

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…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…

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…