Browsing Electronic Theses and Dissertations by Author "van Veen, Lennaert"

Now showing items 1-10 of 10

    • Discrete optimization of upgrade scheduling 

      Smith, Derick (2022-08-01)
      A primary objective of the mission to meet climate change goals of reducing greenhouse gas (GHG) emissions is to transition from fossil fuels to zero-emission energy. Fossil fuel production and transportation account for ...

    • Dynamic square patterns in two dimensional neural fields 

      Green, Kevin R. (2015-07-29)
      The goal of this thesis is to study the emergence of spatiotemporal waves in neural field models. Neural field models aim to describe the activity of populations of neurons at a mesoscopic scale, considering averaged ...

    • Exploring global dynamics in a low order model of parallel shear flow 

      Nikzad, Behzad (2015-08-01)
      The study of the onset of turbulence in the flow of fluids, which are governed by the Navier-Stokes equations, has produced some famous instabilities e.g. Kelvin Helmholtz instability. An important, and as of yet mysterious, ...

    • Metabifurcation analysis of a phenomenological ventricular cell model 

      Yang, Wenyue (2018-08-01)
      Heart disease is the leading cause of death in America, and arrhythmia is considered one of the most important precursors of heart attacks. We cannot predict arrhythmia directly; however, it has been shown that cardiac ...

    • A nonlinear and nonlocal model for animal aggregation 

      Qi, Yuelin (2022-09-01)
      An aggregation model is a kind of model used to show the dynamics of the distribution of the population of organisms. Mathematically, we can use a partial differential equation to model the density of an organism at different ...

    • On deep learning in physics 

      Mills, Kyle (2021-04-01)
      Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...

    • Perpetually playing physics 

      Beeler, Chris (2019-08-01)
      Here we discuss ideas of reinforcement learning and the importance of various aspects of it. We show how reinforcement learning methods based on genetic algorithms can be used to reproduce thermodynamic cycles without prior ...

    • Proportional-integral control in the evaluation of glucose homeostasis and Type 2 Diabetes 

      Kaufman, Jaycee (University of Ontario Institute of Technology, 2022-06-01)
      Mathematical modelling of blood sugar dynamics has been explored since the early 1960s. For most of these models, measurements of hormones such as insulin and glucagon are required to find parameter values that yield ...

    • Study of a 2 dimensional aggregation model with non-linear adaptations 

      Frawley, Eryn (2018-08-01)
      In this paper we will explore the impacts on collective animal motion of adding non-linearity to the animals’ turning rate in a 2-dimensional model of aggregation. The model in question was proposed by Fetecau and implements ...

    • Using machine learning methods to aid scientists in laboratory environments 

      Coles, Rory (2019-12-01)
      As machine learning gains popularity as a scientific instrument, we look to create methods to implement it as a laboratory tool for researchers. In the first of two projects, we discuss creating a real-time interference ...