• APPLYING VARIOUS MACHINE LEARNING METHODOLOGIES INTO THE FINANCIAL MARKET 

      MESLEH, MAHMOUD G. (2022 , Master Thesis)
      The modernization of the financial market, with the introduction of the internet, made it easier for the average, everyday people, around the world to invest in the plentiful trading assets in the market. This created a ...
    • Cancer Detection and Identification on Scarce and Low- Resolution Data 

      KUNHOTHt, SUCHITHRA (2018 , Master Thesis)
      Machine learning algorithms have been contributing immensely in the biomedical sector with the innovation of several automatic and semi-automatic diagnostic devices. They are well suited for applications such as the diagnosis ...
    • Deep ConvNets for COVID-19 Recognition from Chest X-Rays 

      Tahir, Anas M. (2021 , Master Thesis)
      Coronavirus disease 2019 (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS)-CoV and Middle East Respiratory Syndrome (MERS)-CoV, which outbreak in ...
    • Illuminant Estimation By Deep Learning 

      Miqdad, Hassan H. (2018 , Master Thesis)
      Computational color constancy refers to the problem of estimating the color of the scene illumination in a color image, followed by color correction of the image through a white balancing process so that the colors of the ...