1. Computational Inversion with Wasserstein Distances and Neural Network Induced Loss Functions Ding, Wen 2022 Theses MathematicsDifferential equations, PartialDistribution (Probability theory)Deep learning (Machine learning)Neural networks (Computer science)--Mathematical models
2. Development of Cut Cell Methods for Barrier Simulations with Shallow Water Equations Ryoo, Chanyang 2022 Theses MathematicsSaline water barriers--Mathematical modelsSimulation methods
3. Learning predictive models from menstrual cycle data Li, Kathy Yinuo 2022 Theses MathematicsMedical sciencesStatisticsMenstruationMenstrual cycleWireless communication systems in medical care
4. Mathematical modeling of traffic flow for connected and automated vehicles Huang, Kuang 2022 Theses MathematicsTraffic engineering--Mathematical modelsTraffic flow--Mathematical models
5. A Mathematical Study of Learning Dynamics Keller, Rachael Tara 2021 Theses MathematicsMachine learningMachine learning--Mathematical modelsNeural networks (Computer science)Numerical analysis
6. Models of Reactive-Brittle Dynamics in the Earth's Lithosphere with Applications to Hydration and Carbonation of Mantle Peridotite Evans, Owen 2021 Theses MathematicsLithosphereUltrabasic rocksPlate tectonicsCarbon dioxide--Environmental aspects--Mathematical modelsThermodynamics
7. Some Applications of Nonlocal Models to Smoothed Particle Hydrodynamics-like Methods Lee, Hwi 2021 Theses MathematicsMeshless methods (Numerical analysis)Hydrodynamics--Mathematical models
8. Smoothness Energies in Geometry Processing Stein, Oded 2020 Theses MathematicsComputer scienceSmoothing filters (Mathematics)Geometry--Data processingLaplacian matrices
9. An h-box Method for Shallow Water Equations Li, Jiao 2019 Theses MathematicsStorm surges--Mathematical modelsTsunamis--Mathematical modelsAlgorithms
10. Biological Insights from Geometry and Structure of Single-Cell Data Sharma, Roshan 2019 Theses BioinformaticsMathematicsT cells--DifferentiationGeometrySingle cell proteins