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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…

Increasing in wireless communications systems is caused to increase in the need of the frequency spectrum. CR (Cognitive Radio) measure or sense frequency spectrum activities on spectrum bands whether they are idle or used by licensed users. According to sensi…

This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authority (PoA)—based on en…

Fossil fuels used by traditional internal combustion vehicles today are quite damaging to environment. Because of these fuels, global warming has reached a very dangerous point. However, fossil fuels are gradually depleting. Therefore, it is inevitable that el…

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…

Bu bildiride, ileri beslemeli tek gizli katmanlı yapay sinir ağları için donanım uygulamasına uyumlu olan ve seyrek düzenlileştirilmiş bir aşırı öğrenme makinası (ELM) algoritması sunulmaktadır. Önerilen algoritma, düzenlileştirme için genelleştirilmiş minimak…

This work suggests a newly developed partial transmit sequence (PTS) approach consisting of the hybridization of two efficient algorithms, namely, the grey wolf optimization (GWO) algorithm and the sine cosine algorithm (SCA). The SCAGWO-based PTS technique is…

Synchronous Reluctance Motors (SRMs) are defined as reliable electric motors. Although the history of this type of motor dates back a very long time, their usage areas have started to increase with the developments in power electronics in recent years. While t…

 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 …

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

Lower limb exoskeletons are wearable robotic devices which either augment human power or facilitate a walking ability for those who lost it by injury or aging. They have been getting more and more attention in the scientific community thanks to its increasin…

Taşıtların elektrik ihtiyacı taşıtın cinsine göre her geçen gün artarak devam etmektedir. Bu ihtiyacı karşılamak taşıtlarda bulunan geleneksel elektrik üretim ve depolama yöntemi dışında egzoz ısının geri kazanımı, güneş enerjisi uygulamaları yanı sıra süspa…

The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

Development of semiconductor technology, the introduction of computers, smart devices and many household appliances into our lives, especially in the last 20 years, the increase in interest in renewable energy sources, the density of the population in the grid…

A microgrid is a power grid consists of distributed power generation units and loads. Microgrid is also a system that can operate in grid-connected mode and islanding (autonomous) mode. The control of distributed power generation units in microgrids is necessa…

Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…

Nowadays, very large quantities of data are produced both individually and institutionally. These data must be preserved very well in order to be able to access and process them as needed. This situation necessitates data recovery services in possible disast…

Maxwell denkleminin AV formülasyonu esas alınarak, zamana bağlı bir akım altında süperiletken telin elektromanyetik özelliklerini çözmek için yeni bir sayısal model geliştirilmiştir. Farklı akım genlikleri için alternatif akım (AA) kayıpları hesaplanmış ve iki…

Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…

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-…