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  • A social computing solution to disaster relief 

    Yang, Yang (Texas A&M University. Libraries, 2019-05)
    Disaster relief has chronically been a major issue, and various solutions have been presented, attempting to provide the best relief. Currently, disaster rescue teams are facing the problem of lack of valid information at ...
  • Incorporating haptic features into physics-based simulation 

    Zhao, Rukai (Texas A&M University. Libraries, 2019-05)
    In our graphic lab, we have developed many physics-based animations focusing on muscles and we hope to create an interactive interface with tactile feedback so that the users can not only see those physical features but ...
  • Comparing the performance of different quantum error correcting codes 

    Pickett, Marshall B. (Texas A&M University. Libraries, 2019-05)
    This thesis discussess Quantum Error Correction and why it is essential for the development of quantum computation. The introduction will cover the basics of quantum computing and classical error correction. In the second ...
  • Performance Study of Graph Convolutional Networks for Medical Prediction-Based Networks 

    D'Antonio, Benjamin (Texas A&M University. Libraries, 2019-05)
    Predicting the effects of Polypharmacy is a difficult task, and a great amount of money is spent annually remedying the effects of negative drug interactions arising from Polypharmacy. However, Machine Learning can be used ...