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Selectıve Personalızatıon Usıng Topıcal User Profıle To Improve Search Results
(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. ...
Artıfıcıally Intellıgent Players For Pvp In Mmorpgs
(Bilişim Enstitüsü, 2020-12-16)
Massively Multiplayer Online Role Playing Games (MMORPG) are very similar to real life problems since they are complex and partially observable. These games, which have many features such as trade, character improvement, ...
Türkçe İçin Sahte Haber Tespit Modelinin Oluşturulması
(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. ...
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 ...
Blockchain Based Software Project Information Sharing and Estimation System
(Fen Bilimleri Enstitüsü, 2020)
Accurate estimations play a significant role in the success of software projects, and companies should have sufficient number of past project data to make these estimations accurate and reliable. Some institutions gather ...
Yonga-Üstü-Ağlar için Uygulamaya Özgü Yeniden Yapılandırılabilir Topoloji Tasarımı
(Fen Bilimleri Enstitüsü, 2020)
The rapid reduction in integrated circuit dimensions makes it possible to place more components on a single chip in each generation. While the increase in components requires a better communication mechanism than traditional ...
İkili Arka Plan Destekli Yazar - Bağımsız Yazarlık Doğrulama Sistemi
(Fen Bilimleri Enstitüsü, 2020)
Authorship verification is a decision problem that tries to find out whether the text of an unknown author belongs to a suspicious author. The problem is the fundamental one of the studies in authorship analysis that has ...
Recognızıng Human Interactıons In Stıll Images
(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 ...
Generatıng Storıes From Large Scale Image Collectıons
(Fen Bilimleri Enstitüsü, 2020)
Making sense of ever-growing amount of visual data that is available on the web is one of the biggest challenges we face today. As a step towards this goal, this study tackles a relatively less-studied topic in the literature, ...
Effective and Efficient Parallelization of String Matching Algorithms Using GPGPU Accelerators
(Fen Bilimleri Enstitüsü, 2020)
String matching is one of the oldest and actively studied problems in computer science.
It has applications in computer security, bio-informatics, social media processing, data mining, data compression, coding theory, and ...
A Cross-Layer Intrusıon Detectıon System For Rpl-Based Internet Of Thıngs
(Fen Bilimleri Enstitüsü, 2020)
Internet of Things (IoT) is a heterogeneous network of constrained devices connected both to each other and to the Internet. Since the significance of the IoT has risen remarkably in recent years, a considerable amount of ...
Turkish Video Captioning with Msvd-Turkish Dataset
(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 ...
Kültürel Varlıkların Yönetiminde Semantik Ağ ve Coğrafi Bilgi Teknolojileri Çerçevesinde Bir Sürdürülebilirlik Yaklaşımı: Konumsal Semantik Kültür Ağı (KoSeKA) Modeli
(Sosyal Bilimler Enstitüsü, 2020)
This study focuses on, the lack of sustainable information systems that enable digital preservation and online access for the management of cultural assets, also the lack of utilization of geographic information systems ...
A Tool For Selecting Suitable Software Project Effort Estimation Model At Early Phases
(Fen Bilimleri Enstitüsü, 2021)
Effort estimation is one of the important factors affecting the success of software projects. In order to support this, many effort estimation methods have been developed from past to present. The reliability of the effort ...
Türkçe His Analizinde Optimizasyon ve Öneğitimli Modellerin Kullanımı
(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 ...
Yeni Nesil Acas X Simülasyonu
(Fen Bilimleri Enstitüsü, 2021)
In the near future, when air traffic will gain a new dimension, many light weight platforms like unmanned aerial vehicles and more advanced technologies for existing aircraft will appear in the sky in addition to the current ...
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 ...
Hiperspektral Görüntülerde Derin Öğrenme ile Hedef Tespiti
(Fen Bilimleri Enstitüsü, 2021)
In recent years, hazardous chemicals such as explosives and narcotics have caused many people and particularly security forces to experience major problems in various areas. This has made the detection of hazardous chemicals ...
Temporal Anomaly Localızatıon In Vıdeo
(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 ...
Hibrit Analiz Kullanarak Android Kötücül Yazılım Aile Sınıflandırması
(Fen Bilimleri Enstitüsü, 2021-12-31)
With the developments in mobile and wireless technology, mobile devices have become an important part of our lives. While Android is the leading operating system in the market share, it is also the most targeted platform ...
