Recent Submissions

  • Effective And Efficient Parallelization of String Matching Algorithms Using GPGPU Accelerators 

    Nazlı, Mengü (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 ...
  • Neural Dependency Parsıng For Turkısh 

    Tuç, Salih (Fen Bilimleri Enstitüsü, 2020-06)
    Dependency Parsing is the task of finding the grammatical structure of a sentence by identify- ing syntactic and semantic relationships between words. The current accuracy of the depen- dency parsers is still not satisfying ...
  • Türkçe İçin Sahte Haber Tespit Modelinin Oluşturulması 

    Mertoğlu, Uğur (Fen Bilimleri Enstitüsü, 2020)
    The transformation of print media into online media along with the increasing use of the internet and social media as news sources have drastically altered the concept of media literacy and people's habit of getting news. ...
  • Selectıve Personalızatıon Usıng Topıcal User Profıle To Improve Search Results 

    Karimi Mansoub, Samira (Fen Bilimleri Enstitüsü, 2020-10-02)
    Personalization is a technique used in Web search engines to improve the effectiveness of in- formation retrieval systems. In the field of personalized web search has recently been doing a lot of research and applications. ...
  • Enhancement of Dark Images and Videos via Set-Based Learning 

    Karadeniz, Ahmet Serdar (Fen Bilimleri Enstitüsü, 2020)
    Capturing images under extremely low-light conditions poses significant challenges for the standard camera pipeline. Images become too dark and too noisy, which makes traditional enhancement techniques almost impossible ...
  • Türkçe His Analizinde Optimizasyon ve Ön-eğitimli Modellerin Kullanımı 

    UÇAN, Alaettin; UÇAN, Alaettin (Fen Bilimleri Enstitüsü, 2020-12-11)
    Emotion analysis means to automatic determination of the emotions in any digital content. It has become a necessity to distill and evaluate with emotion analysis the big data that emerged as a result of the dizzying ...
  • Learnıng Vısually-Grounded Representatıons Usıng Cross-Lıngual Multımodal Pre-Traınıng 

    Kuyu, Menekşe (Fen Bilimleri Enstitüsü, 2020-09)
    In recent years, pre-training approaches in the field of NLP have emerged with the increase in the number of data and developments in computational power. Although these approaches initially included only pre-training a ...
  • Neural Word Embeddings for Sentiment Analysis 

    Naderalvojoud, Behzad (Fen Bilimleri Enstitüsü, 2020)
    Most pre-trained word embeddings are achieved from context-based learning algorithms trained over a large text corpus. This leads to learning similar vectors for words that share most of their contexts, while expressing ...
  • Turkish Video Captioning with Msvd-Turkish Dataset 

    Çıtamak, Begüm (Fen Bilimleri Enstitüsü, 2020)
    The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ...
  • Electric Fish Optimization: A New Heuristic Algorithm Based on Electrolocation 

    Yılmaz, Selim (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 ...
  • Utilization of Local and Global Image Descriptors for Phishing Web Page Identifıcation 

    Eroğlu, Esra (Fen Bilimleri Enstitüsü, 2020)
    In recent years, the use of the Internet has increased in all areas of life, thus many cyber- attacks have emerged. These attacks aim to steal users' private information such as passwords, credit cards. During phishing ...
  • İkili Arka Plan Destekli Yazar - Bağımsız Yazarlık Doğrulama Sistemi 

    Canbay, Pelin (Fen Bilimleri Enstitüsü, 2020)
    Authorship verification is a decision problem that tries to find out whether the text of an unknown author belongs to a suspicious author. The problem is the fundamental one of the studies in authorship analysis that has ...
  • Effects of Using Different Resources on Reliability and Power Consumption in Digital Circuit Design 

    Gökalan, Akın (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 ...
  • Dense Video Captioning By Utilizing Auxiliary Image Data 

    Boran, Emre (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 ...
  • Recognızıng Human Interactıons In Stıll Images 

    Tanışık, Gökhan (Fen Bilimleri Enstitüsü, 2020)
    Recognizing human interactions in still images is quite a challenging problem since compared to videos, there is only a glimpse of interaction in a single image. In this thesis, we explore the role of two components that ...
  • Blockchain Based Software Project Information Sharing and Estimation System 

    Erhan, Musa (Fen Bilimleri Enstitüsü, 2020)
    Accurate estimations play a significant role in the success of software projects, and companies should have sufficient number of past project data to make these estimations accurate and reliable. Some institutions gather ...
  • A Cross-Layer Intrusıon Detectıon System For Rpl-Based Internet Of Thıngs 

    Canbalaban , Erdem (Fen Bilimleri Enstitüsü, 2020)
    Internet of Things (IoT) is a heterogeneous network of constrained devices connected both to each other and to the Internet. Since the significance of the IoT has risen remarkably in recent years, a considerable amount of ...
  • Generatıng Storıes From Large Scale Image Collectıons 

    Çelikkale, İsmail Bora (Fen Bilimleri Enstitüsü, 2020)
    Making sense of ever-growing amount of visual data that is available on the web is one of the biggest challenges we face today. As a step towards this goal, this study tackles a relatively less-studied topic in the literature, ...
  • Analysis of Smart City Technologies 

    Polat, Leyla (Fen Bilimleri Enstitüsü, 2020)
    Technology, that cannot be prevented and reaches unbelievable points in the light of science, maintains a modern and technological era by offering great convenience to people in their lives. Smart Systems, Applications, ...
  • An Rnn-Based Approach for Dıscoverıng Inconsıstencıes Between Permıssıons and Metadata In Androıd Applıcatıons 

    Kabukçu, Muhammet (Fen Bilimleri Enstitüsü, 2019-09)
    Since mobile devices are increasingly on hand today, users have become more heavily involved with their use in accessing the Internet. Today, most mobile devices use the Android operating system. On mobile devices, users' ...

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