Thesis: Recent submissions

  • Determination of Learning Architecture to Detect Int-phish Phishing Detection 
    Muntasir, Fahim (Daffodil International University, 2020-12-17)
    Phishing is a deceptive culture and a shape of a cyber-attack schematic which evolved with the sole intention of collecting confidential information by containing the camouflage of the original website. Most of the people ...
  • Classification of Immunity Booster Medicinal Plants Using CNN 
    Musa, Md. (Daffodil International University, 2020-12-31)
    Environment has blessed us with various kinds of plants. Some of them uses as resources of medicines as it is called medicinal plant. In Bangladesh medicinal plants are also known as Ayurvwda, Homeopathy and Unani. Expert ...
  • Measuring the Impact of Web Performance Issues on Visual Progression Based User Experience 
    Showrov, Shunjid Rahman (Daffodil International University, 2020-12-31)
    Performance issues in loading web page contents and developing them such way that these becomes start interacting with users in fastest possible time has been a massive challenge for businesses over the years. Any medium ...
  • Mental Stress Analysis of Bangladeshi Job Holders During Covid-19 Pandemic 
    Islam, Majharul (Daffodil International University, 2020-12-31)
    In twenty first century, due to covid-19 pandemic the job sector has been absolutely shifted.Before starting and joining the job environment, company’s authorities should ensure job holders are psychologically qualified ...
  • Predicting Mobile Price Range Using Classification Techniques 
    Sakib, Ahsanul Hoque (Daffodil International University, 2020-12-17)
    Machine learning-based classification techniques help to solve the problem related to decision making. In many areas of price, prediction is used like housing price prediction, stock price prediction different classification ...
  • An Analysis of Parkinson Disease Prediction Using Machine Learning Approaches 
    Biplab, Ekramul Kabir; Trishna, Surovi Akter (Daffodil International University, 2019-05-11)
    Objective: The main goal of the study isto inspect the performance of three Supervised algorithms for improving the Parkinson disease diagnosis by detection. Methods: We used three machine learning techniques for the ...

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