Browsing by Author "Nicholson, Charles"
Now showing items 61-73 of 73
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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 of user intentions when operating with the cursor
Cezard, Lucas (2017-12-15)Studies have shown that when we operate the cursor on a computer, several factors such as the type of device used (i.e. mouse or touchpad), aging (young vs. old) or motor-impairment can hinder performances. More precisely, ... -
Relationship between the behaviors of social media and physical infrastructure after disruption
Mazé, Enora (2017-08-01)Social media have developed quickly over the years, on a worldwide scale. It has become a major tool for expressing ideas, sharing political opinions, publicity and market trending, assistance, etc., used on a daily basis ... -
Resilience-Based Performance Modeling and Decision Optimization for Transportation Network
Zhang, Weili (2017-12-15)The economy and social well-being of a community heavily rely on the availability and functionality of its critical infrastructure systems, including power, water, gas, and transportation. Roadway networks are a fundamental ... -
RESILIENCE-BASED RESTORATION OF SYSTEMS OF INTERDEPENDENT INFRASTRUCTURE NETWORKS: IMPORTANCE MEASURES, OPTIMIZATION, AND SOLUTION APPROACHES
Almoghathawi, Yasser (2018-05-11)Critical infrastructure networks such as electric power, water distribution, natural gas, transportation, and telecommunications, among others, are the backbone of modern societies as they provide them with the fundamental ... -
Robust Resource Allocation to Interdependent Networks under Multiple Disruption Scenarios
Lobban, Hannah (2017-12)In recent years, the threat of international attacks on critical infrastructure networks has grown; as defined by a 1998 Presidential Decision Directive, these are networks necessary to society’s functionality and include ... -
The role of fairness-based distribution to enhance the resilience of downstream supply chain networks
Abushaega, Mastoor (2021-08-05)Unexpected disruptive events have significant impacts on Supply Chain Networks (SCN), their capacity, and overall performance. Thus, it is critical to developing efficient techniques to improve their robustness and resilience ... -
Scholarship-Student Matching Process Optimization
Rachmawati, Sekar Rizky (2017-12-15)Students need the support of financial aid to help them pay for college tuition and fees. One source of financial aid comes from scholarships. Universities are a primary source for scholarships. The University of Oklahoma ... -
Secure Decentralized Decisions in Consolidated Hospital Systems: Intelligent Agents and Blockchain
Badré, Adrien (2018)Shared decision making has become a very important solution in order to build a consolidated healthcare system. While there is some research in the healthcare literature discussing the advantages and disadvantages of the ... -
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 ... -
Thyroid nodule ultrasound image analysis and feature extraction
Dong, Xiaomeng (2018-05-11)In this study, I introduce a novel workflow for extracting useful features in thyroid ultrasound images using deep learning and machine learning methods. The methodology combines Convolutional Auto-Encoder, Local Binary ... -
A time-aware LSTM approach to predict tumor size and survival month in non-small cell lung cancer
Kim, Changjae (2022-08-04)Recent advances in long short-term memory (LSTM) networks have enabled us to handle sequential and time-series data. However, some applications of LSTM networks in the healthcare domain have produced suboptimal performances, ... -
VariantFlow: Interactive Storyline Visualization Using Force Directed Layout
Silvia, Shejuti (2016-08-12)The study of literature is changing dramatically by incorporating new opportu- nities that digital technology presents. Data visualization overturns the dynamic for literary analysis by revealing and displaying connections ...