Browsing Applied Mathematics by Subject "machine learning"
Now showing items 1-7 of 7
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Applications of Deep Learning to Differential Equation Models in Oncology
(University of Waterloo, 2023-07-25)The integration of quantitative tools in biology and medicine has led to many groundbreaking advances in recent history, with many more promising discoveries on the horizon. Conventional mathematical models, particularly ... -
Critical Dynamics In Population Vaccinating Behavior
(National Academy of Sciences, 2017-12-26)Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay global eradication. Vaccinating decisions exemplify a complex, coupled system where vaccinating behavior and disease dynamics ... -
Expanding the Scope of Random Feature Models: Theory and Applications
(University of Waterloo, 2023-12-07)Data, defined as facts and statistics collected together for analysis is at the core of every inference or decision made by any living organism. Right from the time we are born, our brain collects data from everything that ... -
Machine Learning Techniques and Stochastic Modeling in Mathematical Oncology
(University of Waterloo, 2022-07-18)The cancer stem cell hypothesis claims that tumor growth and progression are driven by a (typically) small niche of the total cancer cell population called cancer stem cells (CSCs). These CSCs can go through symmetric ... -
Quantum fields and machine learning
(University of Waterloo, 2020-09-25)In this thesis, we use detector models to study various properties of quantum fields. One such property is the correlations present in fields. It is known that two uncorrelated detectors, upon coupling to a quantum field, ... -
Road Surface Estimation Using Machine Learning
(University of Waterloo, 2023-01-19)Vehicle motion control systems are present on commercial vehicles to improve safety and driving comfort. Many of these control systems could be further improved given accurate online information about the road condition ... -
A Sparse Random Feature Model for Signal Decomposition
(University of Waterloo, 2022-05-11)Signal decomposition and multiscale signal analysis provide useful tools for time-frequency analysis. In this thesis, an overview of the signal decomposition problem is given and popular methods are discussed. A novel ...