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Now showing items 71-80 of 92
Data-Driven Adaptive Sparse Modeling For Process Monitoring and Control
(2023-06-28)
Chemical processes are complex and often characterized by nonlinearity, time-variation, and uncertainty. As a result, data-driven modeling approaches have gained widespread popularity in industry and academia for modeling ...
Computational Analysis of Supercritical CO2 Oxy-Methane Combustion
(2023-07-09)
The major challenge in designing oxy-fuel combustors in supercritical power generation cycles is the lack of fundamental understanding of the combustion process at high pressures exceeding the critical point of the fuel ...
Enhancing Geomagnetic Disturbance Modeling for Power Grids: Investigating the Effects of Spatial Variation and Exploring Advanced Data Techniques
(2023-07-06)
Solar activity can cause geomagnetic disturbances (GMDs) that give rise to geomagnetically induced currents (GICs) which can compromise the reliability of the electric grid. The primary goal of this thesis is to investigate ...
Machine Learning-Based Multiscale Modeling and Control of Quantum Dot Manufacturing and Their Applications
(2023-06-05)
In the past few years, there has been a major impetus in the search for quantum dots (QDs), which are a type of semiconducting nanocrystals (NCs) with tunable optical and optoelectronic properties for next-generation ...
Development of Fluorescence Lifetime Imaging Techniques for Identifying and Predicting Cellular Metabolic Perturbations
(2023-07-18)
The detection of cellular metabolic perturbations is crucial for comprehending various physiological and pathological conditions. Autofluorescence lifetime imaging of two endogenous metabolic coenzymes reduced nicotinamide ...
Data Creation and Decision Making for Improved Power System Security: A Machine Learning Approach
(2023-08-03)
In an era of rapid decarbonization and increasing adoption of renewable energy resources, the maintenance of power grid stability and security presents an evolving set of challenges and opportunities. Modern power grids, ...
Detecting and Managing Stress Using Off-the-Shelf Computing Devices
(2023-08-03)
Stress is an unavoidable part of the human experience. While small doses of stress can help one focus and improve productivity, being constantly exposed to stressors can lead to deleterious health outcomes. As such, ...
The Assessment of Fine Motor Skill Development through Sketch Features and Their Connection to Spatial Cognition Skills to Support School and STEM Learning Readiness
(2023-07-31)
The American Academy of Pediatrics says that 1 in 6 children has some form of developmental delay or disability but most of these delays are not identified or treated until after starting school. During their formative ...
Petroleum Fluid Bubble Point Pressure Prediction in Shale Reservoirs Using Machine Learning Algorithms
(2021-12-02)
The phase behavior properties of petroleum fluid are essential factors in the exploration and production lifecycle of a reservoir. Of all petroleum fluid phase properties, bubble point pressure is one of the most important ...
Optimization, Learning and Generation for Proteins: Docking Structures and Mapping Sequence–Function Relationships
(2021-12-08)
Proteins are the workhorse molecules of lives. Understanding how proteins function is one of the most fundamental problems in molecular biology, which can drive a plethora of biological and pharmaceutical applications. ...