Search

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…

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 …

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 …

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Çok-modlu medikal görüntü birleştirme, görüntü kalitesini artırmak için iki ya da daha fazla medikal görüntünün birleştirilmesidir. Tıbbi görüntüleme sağlık alanında teşhis, araştırma ve tedavide önemli bir rolü üstlenmektedir. Tanı ve tedavide daha doğru klin…

In this study, mathematical modeling of an ohmic heating system has been done, firstly. Then, two different control approaches, PID and fuzzy logic control, have been considered to control of mathematically modeled ohmic heating system. An optimal PID controll…

 P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…

In this study, freeze drying (FD) technology, which is used commonly to preserve the beneficial aromas of the products by prolonging the shelf life and therefore shown as the healthiest drying method. Bananas were used as the dried product that consumes a lot …

Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…

Kanser küresel olarak ölümlere neden olan ciddi bir halk sağlığı sorunudur. Bu sağlık sorununun nedenleri genetik (%5) ve çevresel etmenler (%95) olarak iki gruba ayrılmaktadır. Çevresel etmenler arasında ise beslenme alışkanlıklarının kanser oluşumunda önem…

In the world where tourism is developing rapidly, people travel more and are now turning to alternative tourism activities according to the conditions of the present day. In this context, it is observed that, in line with the socio-economic developments of the…

Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…

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…

Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…

In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…

Microalgae are recognized as environmentally sustainable and biologically renewable resources for the production of high-value products such as biomass, biofuels, dietary supplements, and pharmaceuticals. However, their large-scale cultivation is highly sensit…

 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 …

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 …

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…

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 …