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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 ...
ENERJİ VERİMLİ KULLANIMA ÖZEL 3D YONGA ÜSTÜ AĞ TASARIMI
(Fen Bilimleri Enstitüsü, 2017-06-14)
Network-on-Chip (NoC) is a promising approach for supporting a heavy communication
demand between all parts of high-performance modern nanoscale System-on-Chips (SoCs).
Three-dimensional (3D) IC integration has become ...
İteratif Yazılım Geliştirme İçin Hata Tahminleme Modeli Araştırma : Bir Durum Çalışması
(Fen Bilimleri Enstitüsü, 2014)
One of the biggest problems that software organizations encounter is specifying the resources required and the duration of projects. Organizations that record the number of defects and the effort spent on fixing these ...
Evrişimli Sinir Ağlarında Hiper Parametrelerin Etkisinin İncelenmesi
(Eğitim Bilimleri Enstitüsü, 2018-05-29)
In this study, literature review and experimental study were carried out on the hyperparameters constituting the structure, working system and network of the irregular neural networks that gained popularity in the definition ...
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 ...
Recognıtıon Of Human Interactıons Usıng Hıstogram Of Sequences
(Fen Bilimleri Enstitüsü, 2018-10-08)
In recent years, many techniques have been proposed for recognition of the human interactions in the computer vision literature. To recognize human interactions, spatial and temporal descriptors have been used together. ...
Kaynak Kodlardaki Kötü Kokuların Otomatik Tespiti İçin Eclıpse Eklentisi
(Fen Bilimleri Enstitüsü, 2018)
Code smells in source codes are code fragments that do not prevent the functionality of the developed application, but which reduce code quality, make code maintenance and understandability difficult and require refactoring. ...
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 ...
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 ...
Producing Synthetic Person Images with Deep Generative Artificial Neural Networks
(Fen Bilimleri Enstitüsü, 2018)
Producing synthetic person images has wide variety of applications including digital photo sharing and editing, visual surveillance, fashion and art design and human interactive autonomous machines, among others. In the ...