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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 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…

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…

This study basically presents a review of robotic hands and its applications based on human hand motion. In the context of the review, different kinds of articles are analyzed. There are some hand motion-sensing methods, which are noncontact and direct contact…

Enerji verimliliği alanındaki çalışmalar hız kesmeden artarken insanların konfor beklentileri de her geçen gün daha fazla yükselmektedir. Bununla birlikte, akıllı binaların sayısı da teknolojik gelişmelere paralel olarak artmaktadır. Günümüzde akıllı binalar h…

This work suggests a newly developed partial transmit sequence (PTS) approach consisting of the hybridization of two efficient algorithms, namely, the grey wolf optimization (GWO) algorithm and the sine cosine algorithm (SCA). The SCAGWO-based PTS technique is…

Sınav sorularının elle hazırlanması özellikle kısıtlı zamana sahip eğitimciler için büyük zorluk oluşturmaktadır. Ayrıca elle hazırlanan sınavlar soru tekrarı, ölçme ve değerlendirmeyi sağlayamama veya güvenlik sorunları gibi problemlere neden olmaktadır. Sına…

In the analysis of the flood routing problem, it is necessary to determine the change of the flood wave moving through the channel according to time and location, and in this context, nonlinear 3-parameter Muskingum model (NL-MUSK) is widely used. The parame…

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, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of t…

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …

Building automation and control systems (BACs) allow plants in buildings to be controlled and managed, thus increasing the users' comfort and reducing the operation and maintenance costs. As far as the lighting services are concerned, control systems offer an …

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…

This study includes the design of quadratic cascade DC/DC boost converter with PI controller. Two or more cascade boost converters have been used to increase system efficiency. Advantages of the proposed converter compared to the conventional boost converter a…

Blokzincir teknolojileri, asimetrik şifreleme, hash algoritmaları, dağıtık yapı, akıllı sözleşmeler ve konsensüs mekanizmaları gibi kavramlara dayanır. Konsensüs mekanizmaları, blokzincir teknolojisi de dahil olmak üzere dağıtık sistemlerde, tüm düğümlerdeki v…

Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …

Differential evolution algorithm (DEA) is one featured kind of population based evolutionary algorithms. Although it is stated in previous studies that the algorithm is more sensitive to the crossover rate, it is tried out in this study whether DEA depends on …

Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…