Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 170, listelenen: 31-50
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Central Armendariz Rings
(Bulletein of the Malaysian Mathematical Sciences Society, 2011)We introduce the notion of central Armendariz rings which are a generalization of Armendariz rings and investigate their properties. We show that the class of central Armendariz rings lies strictly between classes of ... -
Certification Issues in The Solar Photovaltaic Sector for Integration of Intelligent Homes with Smart Gritd in Intelligent Cities, Problems and Solitions in Turkey
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)In parallel to Turkey's developing technology and growing economy, to meet the expanding energy needs, Turkey should focus on smart grid and intelligent cities including renewable energy sources. Any growth in energy supply ... -
Chaotic Sand Cat Swarm Optimization
(MDPI, 2023)In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently ... -
Classification of Covid-19 X-ray Images Using Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR)
(Institute of Electrical and Electronics Engineers Inc., 2021)Medical images are crucial data sources for diseases that can not be diagnosed easily. X-rays, one of the medical images, have high resolution. Processing high-resolution images leads to a few problems such as difficulties ... -
Classification of Fruit Images as Fresh and Rotten Using Convolutional Neural Networks
(IEEE, 2023)Many fruits are produced all over the world, and the fruits produced are sent abroad and sold in a relatively short time in many countries. During the period between collection and sale, the fruits may undergo various types ... -
Classification of Lung Nodules Using Textural Features
(Institute of Electrical and Electronics Engineers (IEEE), 2019)In this study, a computer-aided detection system was developed for detection and investigation of lung nodules in computed tomography images using image processing techniques. The computer aided detection system consists ... -
Clustering Electricity Market Participants Via FRM Models
(IOS Press, 2020)Collateral mechanism in the Electricity Market ensures the payments are executed on a timely manner; thus maintains the continuous cash flow. In order to value collaterals, Takasbank, the authorized central settlement ... -
Combinatorial Bees Algorithm for Vehicle Routing Problem
(Wiley, 2021)Vehicle routing problem (VRP) is a combinatorial optimization problem that has been studied intensively for years. Although VRP can be solved using an exact method for small instances, a more complex one will be impractical ... -
Comparision Of Computing Tools For Control Of Future Illumination In Smart Grids
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Gün geçtikçe artan çevresel duyarlık ile beraber elektronik ekipman fiyatlarındaki azalma, yakın gelecekte aydınlatma sistemleri işletiminin ve tasarımının da değişeceği beklentisini oluşturmuştur. Bu çalışmada, akıllı ... -
A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
(Springer, 2023)In this study, we consider the author verification problem as a binary classification problem where the aim is to identify whether the two inputs belong to the same author or not. For this task, we have used several ... -
Comparison of Dimension Reduction Techniques on High Dimensional Datasets
(Zarqa University, 2018)High dimensional data becomes very common with the rapid growth of data that has been stored in databases or other information areas. Thus clustering process became an urgent problem. The well-known clustering algorithms ... -
Computer Aided Brain Tumor Detection with Histogram Equalization and Morphological Image Processing Techniques
(Institute of Electrical and Electronics Engineers (IEEE), 2014)Computer-aided detection (CAD) systems help to radiology experts in mass detection using image processing techniques. This study aims to realize mass detection process on brain MRI (Magnetic Resonance Imaging) images. ... -
Computer-Aided Detection of Lung Nodules Using Outer Surface Features
(IOS Press, 2015)In this study, a computer-aided detection (CAD) system was developed for the detection of lung nodules in computed tomography images. The CAD system consists of four phases, including two-dimensional and three-dimension ... -
Controlling of Five Axis Manipulator with Turkish Voice Commands Using Microcontrollers
(Marmara Üniversitesi, 2018)The interaction between human beings and machines has been increasing in conjunction with the development of computer technology. Controlling a system with voice-based commands is one of the most popular applications in ... -
Dağıtım Sistemine Yerel Elektrik Santrallerinin Yerleştirilmesi
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Artan enerji ihtiyacı ve kısıtlı kaynaklar sürdürülebilir enerji kaynaklarına olan ilgiyi artırmıştır. Güneş pili hücresi, rüzgar türbini, yakıt pili ve hidro türbin gibi sürdürülebilir ve çevreye zararsız enerji teknolojileri ... -
Dağıtım Yönetim Sistemleri
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Mevcut elektrik dağıtım şebekelerinin kontrolünün zorluğu, elektrik dağıtım şebekelerinde enerji verimliliği sağlanması, operasyonel maliyetlerinin düşürülmesi ve bu sayede çevreye katkıda bulunulması için enerji otomasyon ... -
A Deep Learning Based Android Malware Detection System with Static Analysis
(Institute of Electrical and Electronics Engineers Inc., 2022)In recent years, smart mobile devices have become indispensable due to the availability of office applications, the Internet, game applications, vehicle guidance or similar most of our daily lives applications in addition ... -
Deep Learning based Malware Detection for Android Systems: A Comparative Analysis
(Sveuciliste Josipa Jurja Strossmayera u Osijeku, 2023)Nowadays, cyber attackers focus on Android, which is the most popular open-source operating system, as main target by applying some malicious software (malware) to access users' private information, control the device, ... -
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)Deep learning techniques bring together key advantages in biomedical image segmentation. They speed up the process, increase the reproducibility, and reduce the workload in segmentation and classification. Deep learning ... -
Deep Learning With Class-Level Abstract Syntax Tree and Code Histories for Detecting Code Modification Requirements
(Elsevier, 2023)Improving code quality is one of the most significant issues in the software industry. Deep learning is an emerging area of research for detecting code smells and addressing refactoring requirements. The aim of this study ...
