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Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …

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 …

The Motion Picture Association of America(MPAA) is used in the United States to rate a film's compatibility via its content. These systems evaluate ratings according to the scenes in the movies. In this work, a deep learning based classification technique is p…

Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …

 In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …

In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…

In our global World, studies on food and food related-sectors, which are among the leading sectors in Turkey, continue to gain momentum to increase productivity and quality. In parallel, the developments in the information technology motivate researchers to ga…

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…

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 …

Pink noise, which has a power spectral density that is inversely proportional to the frequency, is widely used for acoustic applications such as for testing audio equipment. Its generation from white noise requires such a system transfer function that it is no…

In this presentation, conditions and explicit formulas for the realization of a relaxed fourth-order linear time-varying system as a cascade connection of two commutative first and third-order systems are given. The results are supported by an example.  

Günümüzde çocukların fizik tedavilerinde;  germe, elektrik uyarısı, biofeedback, aktif eklem hareketi, kuvvetlendirme ve soğuk uygulama gibi çocuğun motor ve mental durumuna uygun tamamlayıcı uygulamalar kullanılır. Çocuklar bu tedaviler süresince çoğunlukla z…

The popularity of wireless communication is increasing day by day. This has led to the fact that data transfers via GSM have reached very high levels. Data transfers via GSM, which are continuously growing, increase the density of data traffic, thus necessitat…

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 çalışmada, 596 kayıt ve 31 sütundan oluşan veri setiyle R programlama dili üzerinde akciğer kanserinin ikili sınıflama başarısı test edilmiştir. İlk aşama veri setinin temizlemesi, boş değerlerin kaldırılması ve verilerin denetlenmesinden oluşmaktadır. Daha…

In this paper, the Ku-band rectangular microstrip patch antenna (RMPA) is intended to operate in the dual-band for satellite communication (SATCOM). The antenna which is obtained for dual-band by utilizing a U-slot and vertical slits on RMPA is fed with a micr…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

3D object classification has been widely studied in robotic community in recent years. According to types of features that are utilized to describe an object, 3D object classification studies can be separated into two main categories (local and global).The loc…