TO
1 - 25 of 6
| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 |
Chen, Jiahui | Practical and Configurable Network Traffic Classification using Probabilistic Machine Learning | Network traffic classification that is generally applicable and highly accurate is extremely valuable for many network security and management tasks. A flexible and easily configurable classification framework is ideal so it can be customized for use in many different networks. In this thesis we pro... | 2020 | |
| 2 |
 |
Feliciano, Jeppesen Garcia | Development of Computational Strategies for Improved Environmental Simulations of Water Energy Balances, Air Quality, and Energy Use | In the last decade, there has been more focus on urban microclimate due to concerns for inhabitants' health, water and energy resource consumption, and air quality. The Green Environmental Urban Simulations for Sustainability (GEnUSiS) project uses large computational platforms including the Quick U... | 2017 | |
| 3 |
 |
Fischer, Paul | High-Performance Computing Performance Metric Analysis | At present, a signi#12;cant amount of ongoing scienti#12;c research relies on computational models. High-performance computing (HPC) resources are often required to obtain results in a reasonable amount of time. However, as physical and practical limitations constrain the performance progression of ... | 2019 | |
| 4 |
 |
Chloe Garner | Patient Privacy and Database Security for Emerging Health Information Techology | The field of health information technology has exploded over the last decade. With new innovations and technologies evolving quickly, government regulations and policies in place to protect patient information have been created as a response to the changing field, instead of as a way to shape the bo... | 2020 | |
| 5 |
 |
Halberg, Charles | On causality in machine learning | Although the studies of causal inference and machine learning arose independently, there are emerging intersections which are proving fruitful for both fields. One of the major modern challenges in AI is to develop robust, generalizable models which can perform across a number of different tasks wit... | 2022 | |
| 6 |
 |
Saarela, Elise | "Negative news" isn't always negative: Utah journalists reflect on news values and audience engagement in the digital age | The purpose of this thesis is to explain the general notion of negativity in the news and how journalists perceive both their professional and personal standards. Specifically, journalists from Utah were interviewed to determine the main ethical values they consciously think of during their practice... | 2019 |
1 - 25 of 6