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Missouri University of Science and Technology
Operations Research, Systems Engineering and Industrial Engineering
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- Artificial Intelligence (1)
- Benefit-cost analysis (1)
- Broadband infrastructure (1)
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- Flash Floods (1)
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- Regional Planning Commissions (1)
- Rural broadband (1)
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Articles 1 - 3 of 3
Full-Text Articles in Engineering
Development Of Flood Prediction Models Using Machine Learning Techniques, Bhanu Kanwar
Development Of Flood Prediction Models Using Machine Learning Techniques, Bhanu Kanwar
Doctoral Dissertations
"Flooding and flash flooding events damage infrastructure elements and pose a significant threat to the safety of the people residing in susceptible regions. There are some methods that government authorities rely on to assist in predicting these events in advance to provide warning, but such methodologies have not kept pace with modern machine learning. To leverage these algorithms, new models must be developed to efficiently capture the relationships among the variables that influence these events in a given region. These models can be used by emergency management personnel to develop more robust flood management plans for susceptible areas. The research …
Evaluating Barriers To And Impacts Of Rural Broadband Access, Javier Valentín-Sívico
Evaluating Barriers To And Impacts Of Rural Broadband Access, Javier Valentín-Sívico
Doctoral Dissertations
"The lack of adequate broadband infrastructure persists in many rural communities. Beyond funding, additional barriers persist, such as digital literacy and community-level self-efficacy. As a result, the first contribution articulates barriers at the organizational level. This work proposes a framework based on the Theory of Planned Behavior to highlight stakeholder dynamics that have constrained Regional Planning Commissions from advancing broadband infrastructure in rural areas. One approach to address these barriers is to provide stakeholders with analytical tools to evaluate the benefits and costs of various broadband options for their community since there is not a one-size-fits-all solution. To this end, …
Advances And Applications In High-Dimensional Heuristic Optimization, Samuel Alexander Vanfossan
Advances And Applications In High-Dimensional Heuristic Optimization, Samuel Alexander Vanfossan
Doctoral Dissertations
“Applicable to most real-world decision scenarios, multiobjective optimization is an area of multicriteria decision-making that seeks to simultaneously optimize two or more conflicting objectives. In contrast to single-objective scenarios, nontrivial multiobjective optimization problems are characterized by a set of Pareto optimal solutions wherein no solution unanimously optimizes all objectives. Evolutionary algorithms have emerged as a standard approach to determine a set of these Pareto optimal solutions, from which a decision-maker can select a vetted alternative. While easy to implement and having demonstrated great efficacy, these evolutionary approaches have been criticized for their runtime complexity when dealing with many alternatives or …