Search

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

In the fifth generation (5G), the traditional restrictions that limit the capacity of wireless communication must be overcome. Non-orthogonal multiple access (NOMA) is a promising solution capable of overcoming these constraints to meet the requirements of 5…

In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…

This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…

Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…

Several statistical analyses of the Pisarenko harmonic decomposition (PHD) method for frequency estimation of a single real sinusoid in noise have been carried out in the literature. However, all of the analyses consider the phase of the sinusoid as a constant…

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 …

Field Programmable Gate Arrays (FPGAs) are configurable logic semiconductor devices which connect by programmable interconnections. They can be reprogrammed to desired application or functionality requirements. VHDL is a one of the hardware descriptive languag…

We have designed a portable low-cost stethoscope with software tools. It is aimed to pre-diagnose heart diseases in a short time without exposing the patient to detailed examinations and additional procedures such as electro-cardiography (ECG) or angiography. …

A novel continues plasma reactor with rotating electrodes was designed and constructed to investigate methane decomposition to hydrogen and solid carbon. This new reactor structure causes stable operation. Hydrogen is main part of gaseous products which cont…

Instantaneous estimation of the frequency of a real sinusoid in noise from a small number of data samples is an important problem in the signal processing area. Several frequency estimators are proposed for this problem in the literature. In this paper, some o…

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 …

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…

Asenkron motorlar, endüstrideki en yaygın kullanılan motorlardır. Çok avantajlı bir yapıda olduklarından üretim hatlarının her noktasında bulunurlar. Bu motorların arızalarını hızlı ve kolay bir şekilde tespit etmek arzu edilir. Bu makalede, asenkron motorları…

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…

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…

Eşikleme yöntemleri kenar belirleme, bölütleme ve kümeleme yaklaşımlarında sıklıkla kullanılmaktadır. Söz konusu teknikler yardımıyla renk kanallarından çeşitli sayıda kümeler elde edilebilir. Ancak, hangi yaklaşımın daha başarılı olduğu konusu belirsizliğini …

The use of GPUs for general purpose applications is not a recent approach, but it was quickly becoming widespread with NVIDIA's CUDA (Compute Unified Device Architecture) architecture based on C programming language in 2007. Algorithms suitable for parallel op…

In this paper, signal recognition system is proposed for classification of soil types and buried object by using feature extraction and artificial neural networks. Using GprMax simulation program, 300 GPR A scan signals were obtained for different ground plane…

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …