Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title
Now showing items 1-20 of 87
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A Method For Selectıng Regressıon Test Cases Based On Software Changes And Software Faults
(Fen Bilimleri Enstitüsü, 2019)Regression testing is the type of testing in which a modified software is validated to ensure its functionality is not broken. With the increase of modern, agile and large size software systems, regression test selection ... -
A Multı-Instance Based Learning System For Scene Recognition
(Fen Bilimleri Enstitüsü, 2015)Scene recognition is a frequently-studied topic of computer vision. The aim in scene recognition is to predict the general environment label of a given image. Various visual elements contribute to the characterization of ... -
A New Metric For Adaptive Routing in Mobile Ad Hoc Networks
(Fen Bilimleri Enstitüsü, 2014)Mobile Ad-Hoc networks (MANETs) have become very popular for military applications,disaster recovery operations in which the fixed network infrastructure might not be availabledue to wars, natural disasters, and the like. ... -
A Robust Method To Identify Overlapping Crowd Motion Patterns
(Fen Bilimleri Enstitüsü, 2017)Due to recent advances in new camera technologies and the Internet, millions of videos can be easily accessed from any place at any time. A significant amount of these videos are for surveillance, and include actors such ... -
ACİL SERVİS SÜRECİNİN SİSTEM DİNAMİĞİ SİMÜLASYON YÖNTEMİYLE ANALİZİ
(Fen Bilimleri Enstitüsü, 2019-06)The emergency department, which is one of the most significant units of hospitals, offers health services to patients 7 days 24 hours. It is vital that emergency services provide uninterrupted service effectively and ... -
AÇIK KAYNAK YAZILIMLARDA BAKIM YAPILABİLİRLİĞİ VE GÜVENİLİRLİĞİ ÖLÇMEK İÇİN İKİ BOYUTLU DEĞERLENDİRME METODU
(Fen Bilimleri Enstitüsü, 2017)Increased popularity of open source software (OSS) has led to a considerable proliferation of alternative software. However, this being the case, an evident lack of studies that would contribute to evaluation of OSS by ... -
Analyzing the Effects of lowlevel features for visual attribute recognition
(Fen Bilimleri Enstitüsü, 2015)In recent years, visual attributes became a popular topic of computer vision research. Visual attributes are being used on various tasks including object recognition, people search, scene recognition, and so on. In order ... -
Android Uygulama Kurulum Sürecı̇ İçin Verı̇mlı̇ Bir Evrı̇msel Tabanlı Fuzz Testı̇
(Fen Bilimleri Enstitüsü, 2018)Automated tools based on source code analysis used in application development and test phases are insufficient to ensure application security. For this reason, researchers also resort to fuzz testing methods to analyze ... -
Araçsal Tasarsız Ağlar İçin İstatistiksel Tabanlı Bir Saldırı Tespit Yöntemi
(Fen Bilimleri Enstitüsü, 2018)The number of fast-moving devices connected to the internet is increasing day by day. Accordingly, the proposed mobile ad hoc networks are becoming widespread for these mobile devices to communicate with each other. As ... -
Attribute Based Classifiers for Image Understanding
(Fen Bilimleri Enstitüsü, 2017-01-09)Attributes are mid-level semantic concepts which describe visual appearance, functional affordance or other human-understandable aspects of objects and scenes. In the recent years, several works have investigated the use ... -
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 ... -
Bankacılık Alanında Kişisel Yazılım Test Eforunu Tahmin Etmek İçin Proxy Tabanlı Bir Metot Ve Vaka Çalışması
(Fen Bilimleri Enstitüsü, 2018)In this study, a new method was developed to support the software project managers of a private local bank in estimating the required functional test effort/duration of the developed software units. This method allows the ... -
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 ... -
Cosmic İşlevsel Büyüklüğün Java İş Uygulamalarına Ölçme Kodu Enstrümantasyonu Yoluyla Çalışma Zamanında Ölçülmesi
(Fen Bilimleri Enstitüsü, 2015)With the rapid development of information technologies in world, measuring functional size of software is an important issue must be considered in management of software projects. Functional size measurement provides a ... -
Çok Çekirdekli Gömülü İşlemciler Üzerinde Gerçek Zamanlı Sistemler için Çoklu Görev Zamanlayıcı Tekniği
(Fen Bilimleri Enstitüsü, 2014)This thesis introduces Multi-scheduling method for Multi-core hardware platforms without running heterogeneous operating systems concurrently. In this technique, there are two schedulers in single operating system. One of ... -
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 ... -
Daha İnandırıcı Oyun Karakterleri İçin Bayes ve Q-Learning Tabanlı Yaklaşım
(Fen Bilimleri Enstitüsü, 2018)One of the goals of modern game programming is adapting the life-like characteristics and concepts into games. This approach is adopted to offer game agents that exhibit more engaging behavior. Methods that prioritize ... -
Deep Neural Networks For Named Entity Recognition On Social Media
(Fen Bilimleri Enstitüsü, 2018)Named entity recognition (NER) on noisy data, specifically user-generated content (e.g. on- line reviews, tweets) is a challenging task because of the presence of ill-formed text. In this regard, while studies on ... -
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 ...
