Department of Computer Engineering

EMU I-REP

Department of Computer Engineering

Recent Submissions

  • Deep Learning-Based Recommendation System for Breast Cancer Diagnosis 
    Abdullah, Soona Ahmed (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2020)
    Breast cancer is considered one of the deadliest cancers among females. Despite the advanced achievement in the field of medical imaging analysis, a few early research works proposed semi-automatic machine learning algorithms ...
  • A Novel Blind and Fragile Digital Image Watermarking Technique Based on DWT-SVD 
    Al-Omari, Yazan Mohammad (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2017)
    The trade-off between the imperceptibility and the strength of the embedded watermark is one of the most difficult challenges in digital watermarking systems. In certain applications, the watermark has to be preserved ...
  • A System for Notification of Road Accident, Fire and Injury Cases: Smart Emergency Notification System (SENS) 
    Yıldız, Emre Rifat (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2019)
    In this thesis, the system named Smart Emergency Notification System (SENS) is proposed for both the emergency responders and community. SENS detects the single/multiple emergency case(s), i.e. road accident, fire and ...
  • Improving Time Series Forecasting Performance by Fuzzy Decision Fusion 
    Nzouapet, Sonia Malvina Djeuda (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2020)
    Time series data can be collected in many domains including econometric, signal processing, weather forecasting, and earthquake prediction. Accurate prediction of time series prices is essential for investors, meteorologist, ...
  • Palmprint and Face Biometrics for Person Authentication Using Color Images 
    Akinpelu, Oluwamuyiwa Quadri (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2020)
    Multimodal biometric systems aim to improve the recognition accuracy by minimizing the limitations of unimodal systems. There exist many unimodal biometric traits used for person authentication such as face, iris, fingerprint, ...