Department of Computer Science: Recent submissions

  • Automatic recognition of captchas using neural networks 
    Geagea, Marybel (Notre Dame University-Louaize, 2019-05)
    The Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a test used to differentiate between humans and machines. In this thesis, we have implemented a deep neural network architecture to automatically recognize CAPTCHAs. The main idea behind this thesis is to test the reliability of test-based CAPTCHAs in differentiating between humans and machines. We utilized convolutional neural networks instead of the conventional strategies of CAPTCHA breaking which, typically, use segmentation techniques. Our model is comprised of 8 layers to learn textbased images; ...
  • Performance analysis of smart gateways in Fog Network 
    Khalil, Fadi Y. (Notre Dame University-Louaize, 2018)
    With the advancement in computing and wireless technologies, the world has witnessed a growing number of connected devices to the Internet at an unpretending rate. Fog computing emerges as an alternative solution to reduce the burden of Data Centers in traditional Cloud Computing and to support geographically distributed, latency sensitive, and QoS-aware IoT appliations. Fog Computing suggests, that the intelligence should move from the data centers to the edge of network. The main objective of this thesis is to determine the significance and feasibility of implementing a broker node between ...

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