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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 ...
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 ...
COVID-19 Vaccination Supply Chains
(Stochastic Geomechanics Laboratory, 2021-05-21)
The ongoing COVID-19 pandemic has severely disrupted supply chains in the United States; the objective of this poster is to provide relevant information to key stakeholders in academia, government, and the general public ...
Actionable Information - Research Briefs - 3 - Analysis on U.S. States COVID-19 Dashboards
(Stochastic Geomechanics Laboratory, 2021-05-01)
Covid-19 dashboards developed by state authorities in the U.S. present different variables to communicate the status and evolution of the pandemic in their territories. This research brief summarizes the different platforms ...
R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. Annual Report - Year 1
(Stochastic Geomechanics Laboratory, 2021-07-15)
Annual report of R7 project: R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The report lists and details on the activities conducted from June 2020 to June 2021. The milestones ...
Design, Development, Implementation and Operation of CBTS-SGL Data Lake System to Produce Risk Analytics of Supply Chains Impacted by COVID-19 and Other Converging Threats
(Stochastic Geomechanics Laboratory, 2021-05-21)
To address the public health impacts of the COVID-19 pandemic and other converging Threats on the U.S.- Mexico trade it is critical to support all health supply chain systems for both infrastructure and workforce, and to ...
Actionable Information - Research Briefs - 4 - Literature Review on the Impact of Natural Threats on Supply Chains
(Stochastic Geomechanics Laboratory, 2021-05-11)
A literature review was conducted in order to identify the most impactful effects of natural hazards on the operation of supply chains. The review considered the body of research produced about this topic including the ...
R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. Semi-annual Report - Year 1
(Stochastic Geomechanics Laboratory, 2020-11-24)
Semi annual report of R7 project: R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The report lists and details on the activities conducted from June 2020 to November 2020.