Alt Tür "project" Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu için listeleme

Toplam kayıt 6, listelenen: 1-6

    • DETECTION OF PHISHING WEB PAGES BY COMBINING SEMANTICAL AND VISUAL INFORMATION 

      Almakhamreh, Ahmad Hani Abdalla (Fen Bilimleri Enstitüsü, 2024-04-17)
      The increased frequency and sophistication of cybercrimes resulted in severe monetary loss for individuals and entities, increasing the demand for robust and sustainable solutions. Although there are countless anti-phishing ...

    • Elektrik Piyasasında Talep Katılımı için Bir Süreç Değerlendirme Modelinin Geliştirilmesi 

      İlisulu, Fadime (Fen Bilimleri Enstitüsü, 2022-01)
      Demand response (DR) is a new study area and many countries intend to create roadmaps to activate their implementations. The Smart Grid Maturity Model (SGMM) defines the characteristics and targets related the customer, ...

    • Predicting Disease-Gene Associations Via Machine Learning 

      Kuzucu, Osman Onur (Bilişim Enstitüsü, 2024)
      In the quest to elucidate disease etiology and develop advanced diagnostic and treatment tools, knowing disease-gene relationships is of great importance. Traditional approaches based on manual curation fall short due ...

    • Real-Time Radar Tracking System With Deep Learning 

      Muhammed Emir Çakıcı (Fen Bilimleri Enstitüsü, 2023)
      Real-time data tracking plays an essential role in the flight test processes of an aircraft. The data flowing from the aircraft to the ground control center must be real-time and uninterrupted. However, sometimes ground ...

    • Recognızıng Human Interactıons In Stıll Images 

      Tanışık, Gökhan (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 ...

    • Using Network-On-Chip Structure in Deep Neural Network Accelerator Design 

      Nacar, Furkan (Fen Bilimleri Enstitüsü, 2024)
      The widespread adoption of Deep Neural Networks (DNNs) in various fields, such as image and speech recognition, natural language processing (NLP), and autonomous systems, has been noted. However, the computational cost ...