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In this study, chicken and ground beef samples purchased from supermarkets and butchers in Samsun Province were analyzed for presence of Pseudomonas (P.) aeruginosa. In this case, classical culture technique were applied with molecular techniques. Isolation wa…

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…

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 …

İntihar konusu, birçok farklı disiplin tarafından incelenen ve tarihin her döneminde karşılaşılan bir konu olmuştur. Teknolojinin gelişimi ve akıllı telefonların her yerde bulunması sebebiyle, kullanıcılar, özellikle çevrimiçi sosyal platformlar aracılığıyla d…

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 …

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Bu projede, Digi Firması’na ait IEEE 802.15.4 internet protokolüne sahip olan ayrıca ZigBee ağ haberleşme sistemine uygun olarak geliştirilen ve 2.4 GHz frekansında çalışan XBee S2C cihazları kullanılmıştır. Yer uydu haberleşme sistemine entegre edilerek alıcı…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

A total of 70 fish samples were randomly purchased from different butchers and supermarkets brands in Samsun Province, Turkey in 2018, and analysed for present of Pseudomonas (P.) aeruginosa. For that purpose, P.  aeruginosa isolation was carried out in conven…

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…

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

Bu çalışmanın hedefi, silis kumu (SK) ve Termik Santralinden elde edilen uçucu kül (UK) kullanılarak geopolimer harç üretmektir. Bu çalışmada uçucu külü aktive etmek için çimento yerine, aktivatör (Na2SiO3 ve NaOH) ve uçucu kül (UK) birleştirilip bağlayıcı mad…

Internal marketing includes activities that enable human resource management practices such as attracting, developing, motivating and retaining talented personnel to provide external customer satisfaction, as well as activities that provide internal customer…

Nowadays, home automation systems are one of the areas where technological developments are applied. Thus, devices such as doors, windows, lighting, heating, cooling, security cameras, elevator, fire, water pressure, garage, solar energy systems and TVs, curta…

Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …

The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…

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…

 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 …

The quality control process for determining fabric faults causes high cost and time loss when performed with human eyes. Adding a real-time system to the fabric production mechanisms is very difficult to detect mistakes. In this study, 5 MP Raspberry Pi camera…

Social networks are formed from interactions of peoples. Measuring the degree of those relationships requires interpreting connectivity of vertices and extracting information from it. Generally individuals form smaller sub-communities in those networks. Identi…