Browsing Bilgisayar Mühendisliği Bölümü by Type "info:eu-repo/semantics/doctoralThesis"
Now showing items 1-20 of 66
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A Decision Analysis Approach for Selecting Software Defect Prediction Method in the Early Phases
(Fen Bilimleri Enstitüsü, 2022-06)Considering that software usage rates have increased, it is inevitable for end-users to prefer high-quality software products. Undoubtedly, one of the most important quality indicators of a software product is its defect ... -
A Machıne Learnıng Approach For The Detectıon Of Trade Based Manıpulatıons In Borsa İstanbul
(Fen Bilimleri Enstitüsü, 2022)Capital markets, one of the pillars of the financial system, play a vital role in transferring the excess funds of savers to investors who need funds in the medium and long term. Trust is essential for the safe and effective ... -
A Plagiarism Detection System Based on POS Tag N-Grams
(Fen Bilimleri Enstitüsü, 2022)It is a common problem to find similar parts in two different documents or texts. Especially, a text suspected of plagiarism is likely to have similar characteristics with the source text. Plagiarism is defined as taking ... -
Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes
(Fen Bilimleri Enstitüsü, 2022)Action quality assessment using computerized methods is considered to be a promising direction in objective evaluation of actions in several domains including health, sport and education. In a typical architecture for ... -
Adaptif Öğrenme Tabanlı Güven Değeri Kullanılarak Blokzincirin Ölçeklenmesi
(Fen Bilimleri Enstitüsü, 2020)Scalability has become a challenging problem for blockchain technology. Consensus algorithm selection is critical for the practical solution of the scalability problem. Byzantine Fault Tolerance (BFT) based methods have ... -
An End-To-End Convolutional Neural Network Framework For Low-Resolution Attribute Recognition
(Fen Bilimleri Enstitüsü, 2022)In video surveillance, visual person attributes such as gender, backpack, and type of clothing are crucial for searching and re-identification. For detecting and retrieving these attributes with high accuracy, the availability ... -
Bağlama-Dayalı Rol Tabanlı Yetkilendirmede Semantik Model Kullanarak Erişim Denetimi ve Yönetimi: Sağlık Alanı için Bir Durum Çalışması
(Fen Bilimleri Enstitüsü, 2015)In today s, Information Technologies (IT) World security have become a very important and complicated problem. The possibility of unauthorized access to protected knowledge results in unexpected damages and outcomes. In ... -
Bilgisayar Destekli Tanı Sistemi ile Akciğer Nodüllerinin Nitelendirilmesi
(Fen Bilimleri Enstitüsü, 2015)Lung cancer is one of the leading causes of cancer related deaths worldwide, especially in industrially developed countries. Major problems in diagnosis are caused by high volume of visual data and difficulty of detection ... -
Çok Çekirdekli Mimari Üzerinde Gerçek Zamanlı Görev Zamanlama Ve İletişim Yönetim Algoritmalarının Birlikte Tasarımı
(Fen Bilimleri Enstitüsü, 2018-03)The reach of processor architectures to physical boundaries has made parallel systems mandatory in all computer systems used in commercial and academic processes. Parallel systems are the computer systems in which a large ... -
Deep Learnıng Archıtectures for Collectıve Actıvıty Recognıtıon
(Fen Bilimleri Enstitüsü, 2019-09-30)Collective activity recognition, which analyses the behavior of groups of people in videos, is an essential goal of video surveillance systems. In this thesis, we proposed three new solutions and one novel dataset for the ... -
Derin Öğrenme Tekniklerini Kullanarak Rgb-D Nesne Tanıma
(Fen Bilimleri Enstitüsü, 2018)Object recognition is one of the basic and challenging problems of computer vision. With the widespread use of RGB-D sensors such as Microsoft Kinect, which provides rich geometric structured depth data along with RGB ... -
Derinlik Bilgisi Kullanılarak İnsan Hareketlerinin Tanınması
(Fen Bilimleri Enstitüsü, 2014)Human action recognition using depth sensors is an emerging technology especially in game console industry. Depth information provides 3D robust features about environments and increases accuracy of action recognition in ... -
Dynamic Fusion Networks For Predicting Saliency in Videos
(Fen Bilimleri Enstitüsü, 2023)Saliency estimation methods aim to model the human visual attention mechanisms which help to process the most relevant regions in a scene. In other words, the saliency estimation methods' goal is to develop a computational ... -
Electric Fish Optimization: A New Heuristic Algorithm Based on Electrolocation
(Fen Bilimleri Enstitüsü, 2020-01-20)Swarm behaviors in nature have inspired the emergence of many heuristic optimization algorithms. These algorithms have attracted much attention, particularly for solving complex problems, owing to their characteristics of ... -
Elektrik Piyasasında Talep Katılımı için Bir Süreç Değerlendirme Modelinin Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2022-01)Demand response (DR) is a new study area and many countries intend to create roadmaps to activate their implementations. The Smart Grid Maturity Model (SGMM) defines the characteristics and targets related the customer, ... -
ESNEK RESİM DAMGALAMA: BLOK TABANLI DAMGALAMA ANALİZİ, VEKTÖR DAMGASI KULLANIMI VE DOĞRULAMA DAMGALAMASININ GELİŞTİRİLMESİ
(Fen Bilimleri Enstitüsü, 2018)As we live in a digital World, protecting our digital property and to be sure that the data we receive is the same as original has become more important. Digital watermarking emerged as a discipline to ensure copyright ... -
Eşler Arası Ağlarda Makine Öğrenimi Destekli Tutarlılık Temelli Güven Yönetimi
(Fen Bilimleri Enstitüsü, 2022-08-01)Peer-to-peer (P2P) networks first emerged with file sharing and distribution applications. P2P networks continue their popularity with new usage areas such as cryptocurrencies, NFTs, and metaverse platforms. While peer-to-peer ... -
Federe Tabanlı Koşut ve Dağıtılmış Benzetim Sistemlerinin Mimari Modellemesi
(Fen Bilimleri Enstitüsü, 2013)Parallel and distributed simulations (PADS) realize the distributed execution of a simulation system over multiple physical resources. To realize the execution of PADS, different simulation infrastructures such as HLA, ... -
Fractıonal Order Feedback Control of Nonlınear Aerıal Systems
(Fen Bilimleri Enstitüsü, 2019-11-12)In this dissertation, a system of Fractional Order Proportional Integral Derivative controller is introduced and implemented to a radar guided missile in order to track a high-speed flying target. Many novel intelligent ... -
Gelişmiş Sinyal İşleme için Verimli Heterojen Paralel Hesaplama
(Fen Bilimleri Enstitüsü, 2022)In this thesis, power-efficient, real-time, parallel applications are designed which aims to reduce increased computational overhead of advanced signal processing algorithms compared to conventional signal processing ...
