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Enhancing network intrusion detection through robust machine learning models : a comparative analysis
(University of Missouri--Columbia, 2023)
The proliferation of WiFi-enabled smart devices in enterprise IoT networks introduces both enhanced consumer experiences and significant security vulnerabilities. Anticipating a rise to 46.5 percent adoption in US enterprise ...
Semantic segmentation of land use and land cover for mapping agricultural activities
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 12/1/2024] Over the decades, deep neural network computer vision architectures have im- proved their image segmentation and classification performance based on multidis- ciplinary efforts answering a variety ...
Understanding the human psychology towards relationships using the Reddit dataset
(University of Missouri--Columbia, 2022)
There is an increasing interest in exploiting social media data to address problems in various domains, including social science and psychology. Reddit is a well-known social media platform that promotes user interactions ...
Assessing the quality and distribution of news in local television and newspaper markets using data science methods
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Increasingly over the last two decades, U.S. newspapers have struggled with declining readership, decreasing revenues and competition from social media companies, among other challenges. More ...
N-of-1 : better living through self-experimentation
(University of Missouri--Columbia, 2023)
This project's aim was to create a platform for personalized health data analysis, testing, and prediction, making it easier for ordinary people who are interested in N-of-1 trials to do their own self-experiments and take ...
A study of effectiveness of simulated data in classifying Alzheimer's disease status using MRS parameters
(University of Missouri--Columbia, 2023)
In vivo magnetic resonance spectroscopy, or MRS, has the potential to identify meaningful differences in the neurochemical profiles of patients with Alzheimer's disease (AD) relative to healthy controls, especially at ...
Scholar Team Finder - link prediction model for identifying scholars in academic social networks
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Collaborations between scholars from multiple fields are becoming more common in research tasks. However, identifying suitable co-workers can be a challenging and time-consuming process. In ...
Land valuation using an innovative model combining machine learning and spatial context
(University of Missouri--Columbia, 2023)
Valuation predictions are used by buyers, sellers, regulators, and authorities to assess the fairness of the value being asked. Urbanization demands a modern and efficient land valuation system since the conventional ...
A study of sentiment analysis on customer reviews
(University of Missouri--Columbia, 2023)
The way people shop has changed thanks to the internet and lots of e-commerce like Amazon, Etsy, and Best Buy. In the past, people went to the store and examined products there. Now, people decide on purchasing a product ...
Quantlyzer : an R package for automated exploratory and predictive data analysis
(University of Missouri--Columbia, 2023)
Machine learning (ML) and statistical algorithms have been significantly used in various applications, such as data classification, predictive regression, and feature selection. As the need for data-driven insights continues ...