Browsing by Author "Hougen, Dean"
Now showing items 21-40 of 48
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Homogeneous Vessels as Active Elements for Measuring Pressure
Nash, Michael (2018-05-11)This work investigates an approach to pressure sensor design in which a homogeneous vessel is used as the active element to sense pressure. The goal of this project was to synthesize a standard model for the design and ... -
Informed, Interactive, and Interpretable Machine Learning for Forward Kinematics of Robot Arms
Kanneganti, Sai Teja (2022-08)Machine learning (ML) is becoming increasingly sought after in diverse domains. Unfortunately for this objective, most ML research has focused too much on improving performance on evaluation metrics such as accuracy to the ... -
Interpretable deep neural networks for more accurate predictive genomics and genome-wide association studies
Badré, Adrien (2023-05)Genome-wide association studies (GWAS) and predictive genomics have become increasingly important in genetics research over the past decade. GWAS involves the analysis of the entire genome of a large group of individuals ... -
Learning Relational Concepts with the Spatiotemporal Multidimensional Relational Framework
Bodenhamer, Matthew (2014-05)The real world can be seen as containing sets of objects that have multidimensional properties and relations. Whether an agent is planning the next course of action in a task or making predictions about the future state ... -
Misbehavior aware on-demand intrusion detection system to enhance security in VANETs with efficient rogue nodes detection and prevention techniques
Paranjothi, Anirudh (2023-05-12)Vehicular ad-hoc networks (VANETs) facilitate vehicles to broadcast beacon messages to ensure road safety. The goal behind sharing the information through beacon messages is to disseminate network state or emergency ... -
Misinformation Detection Methods Using Large Language Models and Evaluation of Application Programming Interfaces
Donner, Catherine (2024-05-10)Misinformation has emerged as a pressing public policy concern, prompting transdisciplinary research in the data science field. News journalism provides a foundation for free speech in modern society, yet misinformation ... -
Nurturing as Safe Exploration Promotes the Evolution of Generalized Supervised Learning
Hoke, Bryan (2017-08-01)The ability to learn is often a desirable property of intelligent systems which can make them more adaptive. However, it is difficult to develop sophisticated learning algorithms that are effective. One approach to the ... -
One-class Support Vector Machines Approach for Trust-Aware Recommendation Systems
Welborn, Thomas (2021-12)As the amount of information users interact with every day continue to grow, filtering it for useful information is increasingly important. One of the most useful tools for this task are recommender systems (RS). These ... -
Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms
Carlson, Benjamin (2016-05)Many approaches to applying Genetic Algorithms (GAs) to Nondeterministic Polynomial time Complete (NPC) problems involve population members encoded directly from the problem solution space. While this technique enables ... -
Predicting wine quality and/or taste through the use of a latent ODE-RNN Neural Net
Beattie, Alexandra (2019-12-13)It is common for recommendation systems to use clustering techniques for finding similar products for the downstream user. These models do not always incorporate time as a variable when recommending an item. If our ... -
Prediction Models for Estimating the Efficiency of Distributed Multi-Core Systems
Hasan, Khondker (2014-07-24)The efficiency of a multi-core architecture is directly related to the mechanisms that map the threads (processes in execution) to the cores. Determining the resource availability (CPU and main memory) of the multi-core ... -
Promoting Speciation Through Variable Dominance in Genetic Algorithms
Daro, Robert (2020-05)Genetic algorithms are a class of search algorithms that have been around since the 1970s. Despite their age, genetic algorithms still see a great deal of use in various applications and so many efforts have gone into ... -
Question-Answering for Segment Retrieval on Podcast Transcripts
Elaryan, Andrew (2022-08)Podcasting has rapidly ascended as one of the primary forms of spoken-word media in the 21st century. The Spotify Podcast Dataset has compiled transcripts of over 100,000 podcast episodes, making it one of the largest ... -
Reinforcement Learning for Cognitive Phased Array Radar Surveillance
Flandermeyer, Shane (2023-05-12)The proliferation of phased array radar (PAR) has significantly increased the flexibility of radar systems, making it possible to use a single radar to perform a variety of operational modes such as surveillance and tracking ... -
Reinforcement learning for continuous control
Murali Krishnan, Shyam Sundar (2020-12-18)Reinforcement learning is an area in machine learning that concerns how agents should take actions in an environment to maximize its reward. Earlier works on reinforcement learning algorithms work well for discrete action ... -
Relevance and Privacy Improvements to the YaCy Decentralized Web Search Engine
Rand, Jeremy (2018)The YaCy decentralized web search engine carries significant potential advantages in censorship resistance over centralized search engines such as Google. However, YaCy currently suffers from deficiencies in relevance of ... -
Scaling up Labeling, Mining, and Inferencing on Event Extraction
Liang, Yan (2022-05)Numerous important events happen every day and are reported in different media sources with varying narrative styles across different knowledge domains and languages. Detecting the real-world events that have been reported ... -
Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms: Theory and In Practice
Beattie, Alexandra (2023-12-15)This dissertation presents methods for evaluating and mitigating a relatively unexplored bias topic in recommendation systems, which we refer to as attribute association bias. Attribute association bias (AAB) can be ... -
Stable dynamic feedback-based predictive clustering protocol for vehicular ad hoc networks
Mukhtaruzzaman, Mohammad (2023-05-12)Scalability presents a significant challenge in vehicular communication, particularly when there is no hierarchical structure in place to manage the increasing number of vehicles. As the number of vehicles increases, they ... -
Statistical Anomaly Discovery Through Visualization
Xu, Chenguang (2023-05-12)Developing a deep understanding of data is a crucial part of decision-making processes. It often takes substantial time and effort to develop a solid understanding to make well-informed decisions. Data analysts often ...