Browsing by Author "Nicholson, Charles"
Now showing items 41-60 of 73
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Infrastructure Network Resilience and Economic Impacts: Applications in Multi-Modal Freight Transportation
Darayi, Mohamad (2017-08-01)The US has defined a number of critical infrastructures, the disruption of which “would have a debilitating impact on security, national economic security, national public health or safety, or any combination of those ... -
An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production
Almaraj, Ismail (2019-05)Modeling robust closed- loop supply chain under multiple uncertainties and multiple criteria where imperfect quality production is incorporated is a new research trend in this area. Such integration is essential as it ... -
Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry
Ramachandran, Madhumitha (2019)The capital-intensive oil & gas industry invests billions of dollars in equipment annually and it is important to keep the equipment in top operating condition to help maintain efficient process operations and improve the ... -
Lower-energy conformers search of TPP-1 polypeptide via hybrid particle swarm optimization and genetic algorithm
Zhang, Genwei (2018)Low-energy conformation search on biological macromolecules remains a challenge in biochemical experiments and theoretical studies. Finding efficient approaches to minimize the energy of peptide structures is critically ... -
Managing computational complexity through using partitioning, approximation and coordination
Alizadeh Kordabad, Reza (2022-08-04)Problem: Complex systems are composed of many interdependent subsystems with a level of complexity that exceeds the ability of a single designer. One way to address this problem is to partition the complex design problem ... -
Model evolution for the realization of complex systems
Guo, Lin (2021)George Box said, “All models are wrong, but some are useful.” In the design of complex systems, types of complexity need to be managed. Giving the complexities that a decision maker may encounter, corresponding adjustments ... -
Model for Mitigating Economic and Social Disaster Damage Through Structural Reinforcement
Snelling, Megan (2017-05)Natural disasters have both severe negative short-term consequences on community structures, inhabitants, and long-term impacts on economic growth. In response to the rising costs and magnitude of such disasters to ... -
Multi-objective optimization of building mitigation strategies to address multiple hazards
Adluri, Tarun (2021-05-14)This study develops a decision support framework for community resilience planning in the context of multiple hazards. The ability to prepare for and adjust to changing circumstances, as well as to withstand and recover ... -
A New Approach Adapting Neural Network Classifiers to Sudden Changes in Nonstationary Environments
Amidon, Alexandra (2017-05-12)Business are increasingly analyzing streaming data in real time to achieve business objectives such as monetization or quality control. The predictive algorithms applied to streaming data sources are often trained sequentially ... -
A NOVEL POST-HOC MATCHING PROCEDURE USING STATISTICAL LEARNING METHODS
Perret, Olivia (2016)In this thesis, a statistical learning method is leveraged to create a novel measure for conducting post-hoc matching between a treatment group and a candidate set. Post-hoc matching is a necessary element in many non-random ... -
On Designing Public Policy as an Evolving Cyber Physical Social System
Bhalerao, Mayank (2024)Cyber Physical Social Systems (CPSS) represent a dynamic landscape where contemporary challenges often take the form of enigmatic "Wicked Problems." These problems are marked by their complexity, with incomplete ... -
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 ... -
Optimal Facility Location for Interdependent Infrastructure Network Recovery
Mooney, Elyssa (2017-05)Modern communities heavily depend on critical infrastructure networks such as power, water, transportation, telecommunications, gas, etc. Since daily life requires these networks to be operational, it is important that ... -
Optimal selection of short- and long-term mitigation strategies for flooding hazard
Gupta, Himadri Sen (2022-05)Every year, flood hazards cause significant economic losses in different locations worldwide with devastating impacts on the buildings and the physical infrastructure. Therefore, investing in flood mitigation is crucial ... -
Optimal structure patterns for resilient corporate networks
Zormati, Taoufik (2019-12-13)Corporate networks are sets of companies maintaining formal relations between them in the form of contracts (INSEE, 2016). This type of network is generally affected when unexpected events happen, such as financial crises ... -
Perceived Role of Institutional Supports for African American Community College Transfer Students' Engineering Success
Anderson, Terry (2020-05-08)Many obstacles can derail the success of African American community college engineering transfer students at predominately white research institutions (PWIs). The extent to which students successfully transition from ... -
Petrographic analysis with deep convolutional neural networks
Pires de Lima, Rafael (2019-12)Petrographic analysis is based on the microscopic description and classification of rocks and is a crucial technique for sedimentary and diagenetic studies. When compared to hand specimens, thin sections of rocks provide ... -
A Pixel-Based Focus+Context Technique for Visualizing Variation in Classical Text
Asokarajan, Bharathi (2016-05)Before the advent of printed texts, text duplication was primarily done by hand copying. As a result, numerous versions of the same text with errors, alterations, and erasures were often created. Classics scholars synthesize ... -
Predicting NBA Efficiency from NCAA Statistics Using Play-by-Play and On-Off Statistics
Beene, Alexander (2018)New data is available for college basketball since 2009-10. However, when adding interactions, there is a sparse dataset with over 30,000 variables. This causes problems, because there are far more variables than observations. ... -
Predicting Sarcoidosis Disease Incidence using Single Nucleotide Polymorphisms and Supervised Machine Learning
Cejda, Nicholas (2021-05-14)Predicting disease incidence based on Single Nucleotide Polymorphisms (SNPs) for a complex multi-factorial disease like sarcoidosis remains a difficult prediction problem. If disease prediction could be improved, genetic ...