Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title
Now showing items 87-106 of 162
-
Kaba Küme Teorisinin Literatür Tabanlı Bilgi Keşfine Uygulanması
(Fen Bilimleri Enstitüsü, 2013)Science is a collection of academic studies to clarify the beening wondered. The results of academic studies are released a scientific writing style in order to share with other researchers and these publications are ... -
KALABALIK GÖZETLEME ORTAMLARINDA ANOMALİ TESPİTİ
(Fen Bilimleri Enstitüsü, 2017)Camera survaillance systems are effective security methods with a wide range of uses. Videos obtained from these systems are examined by the security personnel in order to determine the dangerous situations and take the ... -
Kaynak Kodlardaki Kötü Kokuların Otomatik Tespiti İçin Eclıpse Eklentisi
(Fen Bilimleri Enstitüsü, 2018)Code smells in source codes are code fragments that do not prevent the functionality of the developed application, but which reduce code quality, make code maintenance and understandability difficult and require refactoring. ... -
Koşut Algoritmaların Koşut Hesaplama Platformlarına Atanması Için Model Güdümlü Yazılım Geliştirme
(Fen Bilimleri Enstitüsü, 2015)The current trend shows that the number of processors used for computer systems are dramatically increasing. By the year 2020, it is planned that supercomputers will have hundreds of thousands of processing units to compute ... -
Kurumsal Kaynak Planlama Yazılımı Geliştirme İçin Alan Özgü Olgunluk Modeli
(Fen Bilimleri Enstitüsü, 2021)Enterprise Resource Planning (ERP) is an integrated management system that enables efficient use of resources such as labor, machinery and materials required for the production of goods and services in enterprises. ERP ... -
Kültürel Miras Alanları İçin Uzaktan Artırılmış Gerçeklik Sistemi
(Fen Bilimleri Enstitüsü, 2017)The concept of Augmented Reality can be described as the combination of real-world imagery with sound, text, images, or 3D models produced on a computer. This concept, which emerged in the 1990s, while addressing only the ... -
Large-Scale Arabic Sentiment Corpus And Lexicon Building For Concept-Based Sentiment Analysis Systems
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ...
