Browsing Bilgisayar Mühendisliği Bölümü by Type "info:eu-repo/semantics/doctoralThesis"
Now showing items 1-20 of 86
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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 Decision Support System for Software Architecture Decision Making
(Fen Bilimleri Enstitüsü, 2024-06)Software architecture forms the overall structure of a software system and defines how its components work and interact together. It serves as a critical schema that specifies in detail the structure, elements and communication ... -
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 New Blockchain-Based PKI and A Digital Signature Format For Long-Term Validation of Digital Signatures
(Fen Bilimleri Enstitüsü, 2024-01-01)Traditional Public Key Infrastructure (PKI) has long been grappling with security issues arising from its centralized and non-transparent design. Despite Google's implementation of the Certificate Transparency (CT) project ... -
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 ... -
A Quality Evaluation Meta-Model for Open Source Software
(Fen Bilimleri Enstitüsü, 2023)In recent years, Open Source Software (OSS) has gained an increasing attention due to its voluntary supporters, growing community, no vendor lock-in, low total cost of ownership, and ease of accessibility in cloud repositories. ... -
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 ... -
Advancing Software Defect Prediction through Ensemble XAI Methods: Insights and Performance Evaluation
(Fen Bilimleri Enstitüsü, 2024-05)This doctoral thesis presents a comprehensive investigation into enhancing the interpretability and transparency of Machine Learning (ML) models in the domain of Software Defect Prediction (SDP) through Model-Agnostic ... -
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 ... -
Android authorship attribution using source code-based features
(Fen Bilimleri Enstitüsü, 2024)With the widespread use of mobile devices, Android has become the most popular operating system, and new applications are uploaded to the Android market every day. However, because of the ease of modifying and repackaging ... -
Artificial Intelligence Applications in Early Diagnosis of Sepsis Disease
(Fen Bilimleri Enstitüsü, 2023)Sepsis is a major cause of death in intensive care units worldwide. Early diagnosis and treatment are crucial for improving patient survival and reducing organ dysfunction. Combining sepsis research and computer science ... -
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 ... -
Behavior Analysis Based Protest Event Detection
(Fen Bilimleri Enstitüsü, 2023)Purpose: Social unrest is a phenomenon that occurs in all countries, both developed and poor. The only difference is in the cause of a social unrest and it is mostly economic in underdeveloped countries. The occurrence ... -
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 ... -
Development of an Agile Story Point Estimation Model for Scrum: A Fusion of Natural Language Processing and Machine Learning Techniques
(Fen Bilimleri Enstitüsü, 2024)Accurate Software Effort Estimation (SEE) is a persistent challenge in Agile Software Development (ASD) due to the iterative and dynamic nature of Agile processes, where traditional estimation techniques like Planning Poker ...
