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Performance Study of Graph Convolutional Networks for Medical Prediction-Based Networks
(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 ...
Incorporating haptic features into physics-based simulation
(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 ...
A social computing solution to disaster relief
(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 ...
EFFICIENT POLYNOMIAL ROOT ISOLATION APPLIED TO COMPUTATIONAL GEOMETRY
(2019-11-14)
Over the last several years, the field of polynomial root isolation has been rapidly improving, but the computational geometry applications have been somewhat unexplored. Here, we have an implementation of a curve ...
Comparing the performance of different quantum error correcting codes
(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 ...