• MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty 

      Uçgun Ergün, Ebru (Fen Bilimleri Enstitüsü, 2022)
      The success and dependability of IoT applications are heavily dependent on data quality. Due to hardware problems, synchronization challenges, inconsistent network connectivity, and manual system shutdown, produced data ...
    • 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’ ...
    • Model Robustness in Data-Scarce Regimes and the Effect of Frequency Perturbations 

      Mehmet Kerim Yucel (Fen Bilimleri Enstitüsü, 2022)
      The last decade has witnessed the meteoric rise of data-driven methods, which has been elevated to new heights thanks to the availability of powerful hardware and abundant data. Despite their swift ascension, deep learning ...
    • 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 ...
    • Monocular Depth Estimation with Self-Supervised Representation Learning 

      Şentürk, Ufuk Umut (Fen Bilimleri Enstitüsü, 2022)
      Many representation and modalities are developed for better scene understanding as images, videos, point clouds, etc. In this thesis, we intentionally characterize scene representation as depth maps in order to leverage ...
    • Multi-Objective Approach for Intrusion Detection in RPL-Based Internet of Things 

      Deveci, Ali (Fen Bilimleri Enstitüsü, 2023)
      In the last decade, humanity has witnessed a tremendous increase in the number of life-saving applications such as smart home or automated industrial systems. This is mainly due to recent advances in resource-constrained ...
    • 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 ...
    • Multimodal Machine Comprehension of How-to Instructions with Images and Text 

      Yağcıoğlu, Semih (Fen Bilimleri Enstitüsü, 2023)
      In the blink of an eye, we understand what we are looking at. Most of our brain is organized to process the visual information we receive; thus, replicating human intelligence requires a complete understanding of human ...
    • 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 Semantİc Parsİng, Annotation and Evaluation for Turkish 

      Bölücü, Necva (Fen Bilimleri Enstitüsü, 2022-12-13)
      Semantic representation is a way of expressing the meaning of a text that can be processed by a machine to serve a particular natural language processing (NLP) task. Universal Conceptual Cognitive Annotation (UCCA) is one ...
    • 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 ...
    • Optimization Methods in High-Level Synthesis 

      Dilek, Selma (Fen Bilimleri Enstitüsü, 2022-06-30)
      Continuous decrease in the transistor technology sizes has enabled much denser packaging of electronic components on chips, which has resulted in integrated circuits with more functionalities and lower costs. However, it ...
    • Optımızatıon Methodology For Applıcatıon Mappıng In Wıreless Network-On-Chıp 

      Çakın, Alperen (Fen Bilimleri Enstitüsü, 2022)
      Network-on-Chip is a novel communication technology that has replaced the traditional bus-based or point-to-point communication methods between the electronic components to allow for faster and more energy-efficient ...
    • 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, ...