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Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title 
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Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title

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Now showing items 107-126 of 162

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    • 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 ...
    • Parallelization Analysis of ECO Tracking Algorithm on GPUs 

      Taygan, Uğur (Fen Bilimleri Enstitüsü, 2020-06)
      Object tracking is a very popular area in image processing. Its popularity comes from the variety of its application areas. It is used for security and surveillance, autonomous vehicles, human-machine interaction, traffic ...
    • Path Plannıng Usıng Heurıstıc Algorıthm in Dynamıc Envıronment 

      Elmi, Zahra (Fen Bilimleri Enstitüsü, 2019-08-30)
      Navigation of mobile robots and autonomous vehicles is one of the important issues in computer and control sciences. Path planning and obstacle avoidance are current topics of navigational challenges for mobile robots and ...
    • Producing Synthetic Person Images with Deep Generative Artificial Neural Networks 

      Günel, Mehmet (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 ...
    • Recognıtıon Of Human Interactıons Usıng Hıstogram Of Sequences 

      Çavent, Aytaç (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. ...
    • 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 ...
    • Reinforcement Learning based Adaptive Access Class Barring for RAN Slicing in 5G Networks 

      Turan, Ali (Fen Bilimleri Enstitüsü, 2021-09-28)
      Machine-to-Machine (M2M) communication is one of the major drivers of 5G networks as M2M traffic might soon surpass Human-to-Human (H2H) traffic. Network slicing is a promising technique for supporting M2M traffic on 5G ...
    • Relıabılıty and Energy Optımızatıon in Hıgh Level Synthesıs of Integrated Cırcuıts 

      Smri, Rawan (Fen Bilimleri Enstitüsü, 2020-01-31)
      Ever-increasing performance demand for the computer applications has resulted in shrinking the technology sizes of the CMOS circuits over the past 50 years, which made it possible to increase the number of transistors ...
    • RGB-D Algılayıcılar Kullanılarak Eş Zamanlı Konum Belirleme ve Haritalama 

      Güçlü, Oğuzhan (Fen Bilimleri Enstitüsü, 2018)
      In order to fulfill its mission in an unknown environment, an autonomous mobile robot needs to create map of the environment and locate itself instantly on the map at the same time. This problem, called Simultaneous ...
    • Sağlık Hizmetlerinde Anonimlik: Dağıtık Yapılar Için Ideal Bir Veri Paylaşım Modeli 

      Canbay, Pelin (Fen Bilimleri Enstitüsü, 2014)
      Data obtained or recorded by healthcare institutions, present extraordinary opportunities to produce forward solutions in many fields. Sharing accurate (real-consistent) data is necessary to produce useful results in ...
    • Sağlık Süreçlerini İyileştirmede Süreç Madenciliği Tekniğini Kullanan Bir Performans Analiz Metodu 

      Erdoğan, Tuğba (Fen Bilimleri Enstitüsü, 2018-07-05)
      A PERFORMANCE ANALYSIS METHOD FOR HEALTHCARE PROCESS IMPROVEMENT USING PROCESS MINING TECHNIQUE In the last decade, as an emerging technique for business processes management, process mining has been applied in many ...
    • Scrum Yöntemi Yapı Elemanlarının Cmmı Seviye 2 Gereklerine Göre Bir Vaka Çalışması Kapsamında Eşleştirilmesi 

      Yalçıner, Burcu (Fen Bilimleri Enstitüsü, 2018)
      The rapid rate of change in information technology is causing increasingly widespread heavy plans, specifications and other documentation based on contractual inertia and maturity model compatibility criteria [1]. In ...
    • 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. ...
    • Sparsity-Based Discriminative Tracking with Adaptive Cue Integration 

      Erdoğan, Hasan Tuğrul (Fen Bilimleri Enstitüsü, 2015)
      Bu tezde, modelsiz takibe ilişkin yeni bir yaklaşım sunmaktayız. Öne sürülen görsel nesne takibi çalışması, seyrek kodlama tabanlı ayırt etme odaklı nesne takibi ile çoklu öznitelikleri dinamik bir şemayla birleştirme ...
    • Spatıo-Temporal Earthquake Predıctıon Wıth Structural Recurrent Neural Networks 

      Doğan, Aydın (Fen Bilimleri Enstitüsü, 2021)
      The earthquake prediction problem can be defined as a given a minimum Richter magnitude scale and a specified geographic region, predicting the possibility of an earthquake in that region within a time interval. This is a ...
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