• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title 
  •   DSpace Home
  • Mühendislik Fakültesi
  • Bilgisayar Mühendisliği Bölümü
  • Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu
  • Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title
  •   DSpace Home
  • Mühendislik Fakültesi
  • Bilgisayar Mühendisliği Bölümü
  • Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu
  • Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title

  • 0-9
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

Sort by:

Order:

Results:

Now showing items 93-112 of 162

  • title
  • issue date
  • submit date
  • xmlui.ArtifactBrowser.ConfigurableBrowse.sort_by.indexing
  • ascending
  • descending
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
    • Large-Scale Arabic Sentiment Corpus And Lexicon Building For Concept-Based Sentiment Analysis Systems 

      Nasser , Ahmed (Fen Bilimleri Enstitüsü, 2018)
      Within computer-based technologies, the usage of collected data and its size are continuously on a rise. This continuously growing big data processing and computational requirements introduce new challenges, especially ...
    • Learning Based Image and Video Editing 

      Karacan, Levent (Fen Bilimleri Enstitüsü, 2019-12-05)
      Image and video editing encompasses the wide range of image operations to give desired visual effects to a given image or video either for improving various visual properties such as color, contrast, luminance or better ...
    • Learning Visual Saliency For Static And Dynamic Scenes 

      Kavak , Yasin (Fen Bilimleri Enstitüsü, 2018-09-26)
      The ultimate aim in visual saliency estimation is to mimic human visual system in predicting image regions which grab our attention. In the literature, many different features and models have been proposed, but still one ...
    • 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 ...
    • Lingo Algoritmasının Kümelerle İlişkili Dokümanların Belirlenmesi ve Küme Etiketlerinin Çıkarılması Aşamalarının İyileştirilmesi 

      Demir, Seyfullah (Fen Bilimleri Enstitüsü, 2013)
      Search Results Clustering (SRC) algorithms are developed so that users can reach to the results that they search for easier. A good SRC algorithm is expected to correclty cluster the search results, and also to be able to ...
    • Makine Öğrenme Yöntemleri Ve Kelime Kümesi Tekniği İle İstenmeyen E-Posta / E-Posta Sınıflaması 

      Şahin, Esra (Fen Bilimleri Enstitüsü, 2018)
      Nowadays, we frequently use e-mails, which is one of the communication channels, in electronic environment. It plays an important role in our lives because of many reasons such as personal communications, business-focused ...
    • Mikroservisler için Verimli Yerleştirme Alternatiflerinin Türetilmesi 

      Karabey Aksakallı, Işıl (Fen Bilimleri Enstitüsü, 2021)
      Microservice architecture is a popular approach that relies on modular software components that are loosely coupled, operate with a single functionality that can be independently deployed and communicate with each other ...
    • Mobil Uygulamaların Evriminde Kalitenin Gelişimi 

      Gezici, Bahar (Fen Bilimleri Enstitüsü, 2018)
      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’ ...
    • Modelıng Of The Ionosphere's Dısturbance Usıng Deep Learnıng Technıques 

      Abrı Zangabad, Rahem (Fen Bilimleri Enstitüsü, 2021-09-14)
      The ionosphere drives an essential role in the atmosphere and earth. Solar flares due to coronal mass ejection, seismic movements, and geomagnetic activity cause deviations in the ionosphere. The main parameter for ...
    • Multi-Scheduling Technıque for Real-Time Systems on Embedded Multi-Core Processors 

      Yaşar, Abdulkadir (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 ...
    • Multilevel Sentiment Analysis in Arabic 

      NASSAR, AHMED (Fen Bilimleri Enstitüsü, 2017-08-24)
      Sentiment analysis has a great necessity to classify sentences like review, news, blog, etc. in order to hold the overall sentiment (i.e. negative, positive or neutral) embedded in them. The vast majority of studies focused ...
    • 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 ...
    • Neural Text Normalization for Turkish Social Media 

      Göker, Sinan (Fen Bilimleri Enstitüsü, 2018)
      Social media has become a rich data source for natural language processing tasks with its worldwide use; however, it is hard to process social media data directly in language studies due to its unformatted nature. Text ...
    • 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 ...
    • Offensive Language Detection in Turkish Twitter Data with BERT Models 

      Özberk, Anıl (Fen Bilimleri Enstitüsü, 2022)
      As insulting statements become more frequent on online platforms, these negative statements create a reaction and disturb the peace of society. Identifying these expressions as early as possible is important to protect the ...
    • Omuz Egzersizlerinin RGB-D Verisi Kullanılarak Gerçek Zamanlı Kestirimi İçin Sanal Egzersiz Sistemi 

      Ulutaş, Volkan (Fen Bilimleri Enstitüsü, 2019-09-30)
      Shoulder pain and discomfort are common and serious problems. Shoulder treatment benefits from a structured and repetitive program. In traditional physical rehabilitation programs, patients frequently perform exercises ...
    • Online Time Delay and Disturbance Compensation for Linear Non Minimum Phase Systems 

      Demirtaş, Özlem (Fen Bilimleri Enstitüsü, 2021)
      Disturbances often occur in real systems and this has a negative effect on system stability and performance. In the past, a number of remedies have been proposed to enhance the stability and performance characteristics ...
    • Open Domain Factoid Question Answering Systems 

      Soleimanian Gharehchopogh, Farhad (Fen Bilimleri Enstitüsü, 2015)
      Question Answering (QA) is a field of Artificial Intelligence (AI) and Information Retrieval (IR) and Natural Language Processing (NLP), and leads to generating systems that answer to questions natural language in open and ...
    • Otomatik Duygu Sözlüğü Çevirimi ve Duygu Analizinde Kullanımı 

      Uçan, Alaettin (Fen Bilimleri Enstitüsü, 2014)
      People want to decide in their daily and seasonal activities by referring other people's emotions, experiences or opinions. This tendency also means transfer of experience and expansion of communal memory. For instance, ...
    • Otomatik Duygu Sözlüğü Geliştirilmesi ve Haberlerin Duygu Analizi 

      Sağlam, Fatih (Fen Bilimleri Enstitüsü, 2019)
      The level reached by mass media today, with respect to informing the society, raising awareness, affecting opinions, and even mobilizing masses, is impressive. Being mass communication tools, mainstream news media produces ...
      Hacettepe Üniversitesi Kütüphaneleri
      Açık Erişim Birimi
      Beytepe Kütüphanesi | Tel: (90 - 312) 297 6585-117 || Sağlık Bilimleri Kütüphanesi | Tel: (90 - 312) 305 1067
      Bizi Takip Edebilirsiniz: Facebook | Twitter | Youtube | Instagram
      Web sayfası:www.library.hacettepe.edu.tr | E-posta:openaccess@hacettepe.edu.tr
      Sayfanın çıktısını almak için lütfen tıklayınız.
      Contact Us | Send Feedback



      DSpace software copyright © 2002-2016  DuraSpace
      Theme by 
      Atmire NV
       

       


      DSpace@Hacettepe
      huk openaire onayı
      by OpenAIRE

      About HUAES
      Open Access PolicyGuidesSubcriptionsContact

      livechat

      sherpa/romeo

      Browse

      All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeDepartmentPublisherLanguageRightsxmlui.ArtifactBrowser.Navigation.browse_indexFundingxmlui.ArtifactBrowser.Navigation.browse_subtypeThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeDepartmentPublisherLanguageRightsxmlui.ArtifactBrowser.Navigation.browse_indexFundingxmlui.ArtifactBrowser.Navigation.browse_subtype

      My Account

      LoginRegister

      DSpace software copyright © 2002-2016  DuraSpace
      Theme by 
      Atmire NV