Search

The incidence of skin cancer is increasing. Early detection of cases of skin cancer is vital for treatment. Recently, computerized methods have been widely used in cancer diagnosis. These methods have important advantages such as no human error, short diagnosi…

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…

Günümüzde, birçok araştırmacı optimizasyon problemleri çözen algoritmaları geliştirme eğilimindedir. Gerçek dünya problemleri ise genelde birden çok amaca sahip oldukları için çok amaçlı optimizasyon problemleri üzerine geliştirilen algoritmalar trend olmuştur…

21. yüzyıldan itibaren teknolojideki gelişmeler sayesinde konum tabanlı sistemler giderek yaygınlaşmaya başlamıştır. Uydu tabanlı konumlandırma sistemleri, uydulardan gelen sinyallerin zayıf şiddette olması sebebi ile bina içine nüfuz edemez. Bir iç ortam konu…

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

Friction stir spot welding (FSSW) method is prone to automation. In this way, by integrating the robot and automation systems have been easily developed. Thanks to the method, the effective overlapping joints can be obtained a short processing time. In the stu…

Eğitim yapılarının, öğrenicilerin yaratıcılık, eleştirel düşünme ve problem çözme becerilerini besleyecek uyaranlar içermeleri konusunda yaygın bir kabul bulunmaktadır. Bu bağlamda, pek çok Avrupa ülkesinde eğitim politikaları kapsamında, eğitim ve öğretimin k…

Open-finance services must prepare for cryptographic transitions while evaluating quantum-computing opportunities against classical alternatives. These decisions require different evidence but concern shared data, software, suppliers, and owners. This paper de…

Bu makalede, dört pervaneli bir insansız hava aracı (DPİHA) için tasarlanan duruş ve yükseklik kontrolörlerinin parametrelerinin optimizasyonunu gerçekleştirilmiştir. PID kontrolörlerinin uygun parametrelerinin belirlemek için ZieglerNichols (ZN) Yöntemi, Parç…

Bu çalışmada Yapay Arı Koloni optimizasyon algoritmalarının üç varyantı sürü robotların hedef bulma probleminde kullanılmıştır. Yapay arı kolonisi optimizasyon algoritmalarının Unity 3D ortamında simülasyonunu gerçekleştiren yazılım geliştirilmiştir. Sürü ro…

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…

Due to the population growth, the use and management of natural resources has been one of the most important issues while ecological studies are gaining importance. In this context, the use and management of water which is the main source of life has had a maj…

A useful and flexible method based on the salp swarm algorithm (SSA) for the pattern nulling of linear antenna arrays with the prescribed nulls is presented. SSA is a relatively new population based evolutionary optimization algorithm. Nulling of the pattern i…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…

 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 …

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…

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…

Yapay zeka (YZ), tasarım sürecinden karar destek sistemlerine, maliyet analizinden malzeme tespitine kadar pek çok alanda kullanılmakta; tarihi yapılarda ise malzeme bozulmalarının tespiti, restorasyon süreçlerinin iyileştirilmesi ve kültürel varlıkların belge…

Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…