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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…

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…

Gerçekleştirilen bu çalışmada, CNC dik işleme tezgâhında kesme parametrelerinin iş parçası yüzey pürüzlülüğü ve kesme kuvvetin üzerine etkileri incelenmiştir. Deneyler 1.5 mm sabit talaş derinliği, üç farklı kesme hızı (90, 120 ve 150 mm/min) ve üç farklı iler…

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…

The Friction Stir Spot Welding (FSSW) method is a derivative of the Friction Stir Welding (FSW) process, which is a new welding process that recently has received considerable attention from the automotive and other industries. The studies of the different res…

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…

Bu çalışma, Ailevi Akdeniz Ateşi (AAA) hastalığına özgü bir veri setini analiz etmek için K-means kümeleme ve Kruskal-Wallis istatistiksel testini kullanan kapsamlı bir araştırmadır. Çalışmanın ana hedefi, AAA hastalarının kolşisin tedavi yanıtlarını etkileyen…

3D object classification has been widely studied in robotic community in recent years. According to types of features that are utilized to describe an object, 3D object classification studies can be separated into two main categories (local and global).The loc…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

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 …

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…

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…

Today's students frequently engage with AI daily, yet many still need to learn the underlying principles. With AI becoming an integral part of modern society, the importance of AI literacy in schools is ever-increasing. This paper discusses the essence of AI l…

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 …

The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges facing smart cities…