Cheating is an issue that affects more than just the student doing it, no matter the format of the assessment being cheated on. Take-home exams provide more flexibility for the instructor and student than regular proctored ...

We present a space-efficient implementation of the quantum verification of matrix products (QVMP) algorithm and demonstrate its functionality by running it on the Aer simulator with two simulation methods: statevector and ...

Corallus batesii is a boid snake native to the Amazon basin. C. batesii was declared a distinct species from its sister species in 2009. Because of this recent taxonomic shift, much of the research on the basic biology and ...

In this paper, my team endeavored to assist end-users in their cybersecurity struggles by constructing a security assistant. The security assistant would unobtrusively detect vulnerabilities on the end-users machines and ...

Computing the volume of a polytope is an important longstudied question, with applications ranging from combinatorics to machine learning. While there are numerous randomized algorithms that efficiently approximate the ...

“The power of Christ compels you!” is probably the most infamous line from the 1973 film The Exorcist. The movie, as the title suggests, follows the journey of a priest as he attempts to excise a demon from within the body ...

This thesis explores how home sensor platforms can be leveraged in the context of care for chronic conditions. In order to understand the needs of such a system, a platform has been developed and deployed at the Georgia ...

Anthropogenic excess nitrogen in the environment has many negative impacts on environmental and human health, including eutrophication, pollution, and loss of biodiversity. River systems carry the burden of regulating this ...

Although many studies have been done on antibodies and vaccines, little is known about the transfection methods of nanoparticles capable of carrying antigens into cells to create effective mRNA vaccines. Although mRNA ...

Reinforcement learning (RL) algorithms have successfully learned control policies for quadruped locomotion such as walking, rotation, and basic navigation. We utilize Proximal Policy Optimization and iGibson to train a ...