Search

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 …

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…

The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…

In order to increase the performance/cost ratio of solar cells, new approaches reducing optical and electrical losses are necessary during the absorption of the light and collection of charge carriers. In this work we focused on various textures on Si surface …

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

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…

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 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 …

Teknoloji günümüzde her alanda kullanılmaktadır. İnsansız Hava Araçlarının da çeşitli sektörlerde (İHA) kullanımı gün geçtikçe artmaktadır. İlk zamanlarda askeri amaçlar için kullanılan İHA teknolojisi, günümüzde jeodezi, tarım, meteroloji, iletişim, acil du…

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…

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…

Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…

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 …

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 …

Gelişen teknoloji ve artan talep nedeniyle yumurta üretim tesisleri büyümüş ve üretim miktarları artmış ve yumurta kalitesi ön plana çıkmıştır. Kusurlu (kirli-kırık) yumurtaların belirlenip ayrılması ve kalan yumurtaların belirli standartlarda sınıflandırılı…

Bilişsel radyo kullanılmayan ya da az kullanılan spektrum bantlarına dinamik olarak erişim olanağı sağlayan ve kullanıcılar arasında herhangi bir olumsuzluğa neden olmadan spektrum paylaşımını gerçekleştiren yazılım tabanlı bir teknolojidir. Kablosuz haberleşm…