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Yizek: Varis Kişilerin Tespiti ve Analizi
(Fen Bilimleri Enstitüsü, 2019)
Social Network Analysis (SNA) is widely used in revealing meaningful information from the relationship networks in different domains. Crime organizations are also a social network which composed of members and relations ...
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. ...
Zararlı Android Yazılımlarının Makine Öğrenmesi ile Ailelerine Göre Sınıflandırılması
(Fen Bilimleri Enstitüsü, 2019)
As the popularity of Android mobile operating system grows, the number of software
developed to harm the users of this system increases. Therefore, many studies have been
done to detect malicious Android software. Apart ...
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 ...
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 ...
Gelişmiş Sinyal İşleme için Verimli Heterojen Paralel Hesaplama
(Fen Bilimleri Enstitüsü, 2022)
In this thesis, power-efficient, real-time, parallel applications are designed which aims to reduce increased computational overhead of advanced signal processing algorithms compared to conventional signal processing ...
Eşler Arası Ağlarda Makine Öğrenimi Destekli Tutarlılık Temelli Güven Yönetimi
(Fen Bilimleri Enstitüsü, 2022-08-01)
Peer-to-peer (P2P) networks first emerged with file sharing and distribution applications. P2P networks continue their popularity with new usage areas such as cryptocurrencies, NFTs, and metaverse platforms. While peer-to-peer ...
Model Robustness in Data-Scarce Regimes and the Effect of Frequency Perturbations
(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 ...