Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 263, listelenen: 73-92
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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 ... -
DERİN ÖĞRENME İLE GRUP HAREKETLERİNİN SABİT RESİM ÜZERİNDEN TANINMASI
(Fen Bilimleri Enstitüsü, 2018)The main problem focused in this thesis is inferring the group activity information from still images and classifying them. Activity information is often meaningful when analyzed based on the timeline. This is one of the ... -
Developing a Comprehensive Emotion Lexicon for Turkish
(Fen Bilimleri Enstitüsü, 2023-09)Social media and mood meters on websites have made expressing ideas easy and clear. These communication channels have produced useful data that can be used across disciplines. These data have helped researchers in several ... -
Developing A Turkish Sentiment Lexicon Using Tone Distributions
(Fen Bilimleri Enstitüsü, 2022)With the developing technology and increasing use of the internet, many sources of data have been exposed to researchers. Analysis and extraction of meaningful information from this data is a research topic under the field ... -
Developıng a Tool That Converts a Process Model Into a Bpmn Data Model By Mınıng From Multıple Perspectıves
(Fen Bilimleri Enstitüsü, 2021)Process mining is mainly focused on process discovery, and also replay techniques to check conformance and analyze bottlenecks. It is further applied to mine the other process perspectives, such as time, data, and resources, ... -
Dinamik Anahtar Gruplama: Dağıtık Akan-Veri Katarı İşleme Sistemleri İçin Bir Yük Dengeleme Algoritması
(Fen Bilimleri Enstitüsü, 2018)With the technological age we are in, technological devices are an indispensable part of our life. Every day, variety of devices, applications and number of users are also increasing. All these increases cause a huge grow ... -
Dinamik Sembolik İşletme Yöntemi İle Matlab’da Test Verisi Üretimi
(Fen Bilimleri Enstitüsü, 2019)In Software Testing process, it is preferred that test data has a high coverage ratio and is applicable amount. Dynamic Symbolic Execution (DSE) method can provide these two benefits together. Within the scope of this ... -
Discovery Of Tandem And Interspersed Segmental Duplications Using High-Throughput Sequencing
(2019)Motivation: Several algorithms have been developed that use high-throughput sequencing technology to characterize structural variations (SVs). Most of the existing approaches focus on detecting relatively simple types of ... -
Duygu Analizinde Öznitelik Seçme Metriklerinin Değerlendirilmesi: Türkçe Film Eleştirileri
(Fen Bilimleri Enstitüsü, 2014)Achievements in the Internet services and the increase in the number of Internetusers transformed our daily Internet activities to an upper level. People can easilyaccess to their demand via a simple search on the Internet. ... -
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 ... -
EEG-Based Assessment of Cybersickness in a VR Environment and Adjusting Stereoscopic Parameters According to Level of Sickness to Present a Comfortable Vision
(Fen Bilimleri Enstitüsü, 2020)Virtual reality (VR) is an increasingly widespread technology that provides a more realistic and fully immersive experience by using head-mounted displays (HMDs). However, this medium comes with some side effects. Users ... -
Effective and Efficient Parallelization of String Matching Algorithms Using GPGPU Accelerators
(Fen Bilimleri Enstitüsü, 2020)String matching is one of the oldest and actively studied problems in computer science. It has applications in computer security, bio-informatics, social media processing, data mining, data compression, coding theory, and ... -
Effects of Using Different Resources on Reliability and Power Consumption in Digital Circuit Design
(Fen Bilimleri Enstitüsü, 2020)Designing an application in hardware under inversely competing constraints such as area, performance and power consumption with different objective functions such as reliability of the circuits is a cumbersome task. Having ... -
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 ...