Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 263, listelenen: 60-79
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Characteristic Usage Of Turkish Internet Users In Office Environment
(Elsevier Science Bv, 2011)In this paper, a lawyer office's network and internet traffic will be examined for determining the characteristics of users and network traffic load. In order to do that, some modifications on the lawyers office is made. ... -
Classifying Fonts And Calligraphy Styles Using Complex Wavelet Transform
(Springer London Ltd, 2015)Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ... -
Comparative Study on Music Source Separation Methods
(Fen Bilimleri Enstitüsü, 2022)Blind source separation is the concept that separates the source signals from the mixture signal. "Blind" means no prior knowledge of the source or the mixing environment. The blind source separation problem is a problem ... -
Comparison of Control System Design Methods for a Bank-to-Turn Missile
(Fen Bilimleri Enstitüsü, 2021)In a bank-to-turn flight, cross-coupling dynamics are excited even more, compared to a skid-to-turn flight and these dynamics violate some of the assumptions that are made during the linearization of the system model. ... -
Complexity, Size And Internal Quality In The Evolution Of Mobile Applications: An Exploratory Study
(2019)Mobile applications are becoming complex software systems as they rapidly evolve and grow constantly to meet user requirements. However, satisfying these requirements may lead to poor design choices known as `antipatterns' ... -
Computerized Ionospheric Tomography With The Iri Model
(Elsevier Sci Ltd, 2007)Computerized ionospheric tomography (CIT) is a method to estimate ionospheric electron density distribution by using the global positioning system (GPS) signals recorded by the GPS receivers. Ionospheric electron density ... -
Congestıon-Aware Adaptıve Routıng Algorıthm Desıgn for 3d Network-On-Chıp
(Fen Bilimleri Enstitüsü, 2021-06)New communication methods have become inevitable due to the continuous increase in the number of components on the integrated circuits. Designers, who prioritize performance, scalability, power consumption need better ... -
Correlation Of Critical Success Factors With Success Of Software Projects: An Empirical Investigation
(2019)Software engineering researchers have, over the years, proposed different critical success factors (CSFs) which are believed to be critically correlated with the success of software projects. To conduct an empirical ... -
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 ... -
Cross-Layer Energy Minimization For Underwater Aloha Networks
(Ieee-Inst Electrical Electronics Engineers Inc, 2017)Underwater networks suffer from energy efficiency challenges due to difficulties in recharging underwater nodes. In addition, underwater acoustic networks show unique transmission characteristics such as frequency-dependent ... -
CUDA Based Real Time Implementation Of Region Covariance Descriptors
(Fen Bilimleri Enstitüsü, 2019-09)Computation time of computer vision applications is critical for real-time applications such as video processing. While applied methods achieve real-time performance, it is also vital to allow processors to work on other ... -
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 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 ... -
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 ... -
Dense Video Captioning By Utilizing Auxiliary Image Data
(Fen Bilimleri Enstitüsü, 2020-07)Dense video captioning aims at detecting events in untrimmed videos and generating accurate and coherent caption for each detected event. It is one of the most challenging captioning tasks since generated sentences must ... -
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 ... -
Derin Öğrenme-Bazlı Bilgisayarlı Göre Modellerinin Eğitimi ve Değerlendirilmesi için Sentetik Veri Üretimi
(Fen Bilimleri Enstitüsü, 2021-06-07)The recent great success witnessed in computer vision field in solving high-level vision tasks such as visual object tracking, semantic segmentation, instance segmentation, and optical flow recognition is predominantly ... -
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 ...