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Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title

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Now showing items 124-143 of 161

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    • 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 ...
    • Stilistik Özellikler Kullanılarak Yazar Tanıma İşinde Yapay Sinir Ağlarının Başarımının Değerlendirilmesi: Türkçe Köşe Yazıları 

      Yavanoğlu Milletsever, Özlem (Fen Bilimleri Enstitüsü, 2017)
      One of the main opportunities that the internet provides today is the rapidity of media resources, anonymity and accessibility from anywhere. Since individuals do not have to use their real identity in places like websites, ...
    • Tagging And Action Graph Generation For Recipes 

      Özgen, Mehmet (Fen Bilimleri Enstitüsü, 2019-09-12)
      Processing instructions is significant to accomplish daily tasks. Instructions can be found in many different forms for a variety tasks. Machine understanding of instructions, similarly, can be beneficial for artificial ...
    • Tamgacı: Artırımsal ve Geri Beslemeli Türkçe Yazar Çözümleme 

      Aslantürk, Oğuz (Fen Bilimleri Enstitüsü, 2014)
      Authorship Analysis is the analysis of a text to get information about the author of that text. It has a long history about 130 years with a wide range of studies, and is an important research topic for criminal, literary, ...
    • Temporal Anomaly Localızatıon In Vıdeo 

      Öztürk, Halil İbrahim (Fen Bilimleri Enstitüsü, 2021-10-14)
      Detecting anomalies in surveillance videos is an important research problem in computer vision. In this thesis, we propose two deep network architectures for anomaly detection, Anomaly Detection Network (ADNet) and Anomaly ...
    • Topic Model Based Recommendation System To Identify Operations That Are Missing In The Treatment 

      Kiraz, Kamuran Nur (Fen Bilimleri Enstitüsü, 2019)
      In the medical field, although it is extremely important and a legal obligation to record the pro-cedures applied to patients by the health personnel, generally the operation lists are incomplete. Omissions in the operation ...
    • Topic Model Based Recommendation Systems Retailers 

      Al Washahi, Rima (Fen Bilimleri Enstitüsü, 2016)
      Nowadays, sellers need very good strategy to keep their customers’ loyalty and to attract new customers to their shops. One of the important ways to accomplish this task is to present new and interesting items to their ...
    • Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon 

      Ateş, Tayfun (Fen Bilimleri Enstitüsü, 2021)
      Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ...
    • 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 ...
    • Türkçe Ağızların Tanınmasında Derin Öğrenme Tekniğinin Kullanılması 

      Işık, Gültekin (Fen Bilimleri Enstitüsü, 2019-02)
      Automatic speech recognition systems are used to translate speech sounds into text. The performance of the automatic speech recognition system in any language is dependent on the speaker gender and emotion as well as ...
    • Türkçe Dizi Etiketleme İçin Sinir Ağ Modelleri 

      Eşref, Yasin (Fen Bilimleri Enstitüsü, 2019)
      Because of the inflection of many word forms from the same root in agglutinative languages such as Turkish, modeling the words as a whole causes sparsity problem. Therefore, rather than handling the word as a whole, ...
    • Türkçe Haber Benzerliklerinin Belirlenmesinde Varlık İsimlerinin Hikaye Bağlantı Algılama Görevinin Başarımına Etkisi 

      Ahamdlouei, Hamid (Fen Bilimleri Enstitüsü, 2015)
      This thesis aims to test the performance of the Story Link Detection (SLD) task aspart of the Topic Detection and Tracking (TDT) program using different similarityfunctions and test their combinations performance on named ...
    • Türkçe His Analizinde Optimizasyon ve Öneğitimli Modellerin Kullanımı 

      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 ...
    • 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. ...
    • Tıbbi Laboratuvarlarda Kalite Maliyet Ölçütlerinin İyileştirilmesi Üzerine Bir Araştırma 

      Nalbant, Ahmet Deniz (Fen Bilimleri Enstitüsü, 2018)
      Health care quality is significantly rising interest in many health fields in recent years. Value provided by any health care resources as determined by some measurements. Such as, laboratories, medical diagnosis like ...
    • Uçtan-Uca Konuşma Tanıma Modeli: Türkçe'deki Deneyler 

      ASEFISARAY, BEHNAM (Fen Bilimleri Enstitüsü, 2018)
      For decades, the main components of Automatic Speech Recognition (ASR) systems have been pronunciation dictionary and Hidden Markov Models (HMMs). HMMs assume conditional independence between its output and creating the ...
    • UNSUPERVISED JOINT PART-OF-SPEECH TAGGING AND STEMMING FOR AGGLUTINATIVE LANGUAGES 

      bölücü, necva (Fen Bilimleri Enstitüsü, 2017)
      Part of Speech (PoS) tagging is the task of assigning each word an appropriate part of speech tag in a given sentence regarding its syntactic role such as verb, noun, adjective etc. Various approaches have already been ...
    • Unsupervised Video Summarization With Independently Recurrent Neural Networks And Multiple Rewards 

      Yalınız , Gökhan (Fen Bilimleri Enstitüsü, 2019)
      Video summarization, one of the interesting research areas that has significant acceleration in recent years, is producing shorter and concise videos that represent the content of long videos as diversely as possible. It ...
    • 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 ...
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