Theses (Master's and Ph.D) – Computer Engineering

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Theses (Master's and Ph.D) – Computer Engineering

 

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Recent Submissions

  • Sentiment Analysis Using Feature Fusion and Convolutional Neural Networks 
    Altunörgü, Oğulcan (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2023-08)
    The a'm of th's study 's to use deep learn'ng methods for sent'ment analys's on a database of well-known documents. It a'ms to show the comparat've success of the prepared algor'thm aga'nst some publ'shed methods and to ...
  • Facial Expression Recognition using Convolutional Neural Networks 
    Ibe, Kosisochukwu Andrew (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2023-08)
    The ability to recognize facial expressions is extremely useful in a variety of fields, such as interaction between humans and computers, computational neuroscience, and robotics for social purposes. It is possible to ...
  • Finger Knuckle Pattern Recognition Through The Fusion of Major and Minor Knuckles 
    Hamidu, Shehu (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2023-02)
    Fingerprints, palm veins, face recognition, DNA, palm print, hand geometry, iris recognition, retina, voice, gait, signature, and other physical or behavioral features have long been employed in biometric systems. The ...
  • Analysis and Development of Ciphers Homomorphic on Addition and Multiplication 
    Ibrahim, Anas Maher I. (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2021-09)
    In this thesis, various additive and multiplicative homomorphic ciphers are analyzed and developed. New homomorphic encryption (HE) ciphers classification is proposed. The new classification of homomorphic ciphers is ...
  • Classification of Vegetable Images Using Texture and Color Features 
    Atamba, Irene Kagombe (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2023-02)
    In this thesis, the aim to use vegetable images and implement a computationally cheap system to automatically classify vegetables using their texture and color features. In this respect, Scale Invariant Feature Transform ...