Browsing Theses by Title
Now showing items 2899-2918 of 15552
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Data-Driven Analytics to Support Scheduling of Multi-Priority Multi-Class Patients with Wait Targets
(University of Waterloo, 2016-08-09)The aim of dynamic scheduling is to efficiently assign available resources to the most suitable patients. The dynamic assignment of multi-class, multi-priority patients over time has long been a challenge, especially for ... -
Data-driven and Hamiltonian-driven Quantum Simulations with Generative Models
(University of Waterloo, 2022-01-12)In the era of noisy intermediate-scale quantum devices (NISQ), a paradigm shift is occurring in the numerical physics community to transition towards developing algorithms that facilitate experimental realizations of quantum ... -
A Data-Driven Approach for Generating Vortex Shedding Regime Maps for an Oscillating Cylinder
(University of Waterloo, 2022-01-20)Recent developments in wind energy extraction methods from vortex-induced vibration (VIV) have fueled the research into vortex shedding behaviour. The vortex shedding map is vital for the consistent use of normalized ... -
Data-driven climate indices as a climate translation service
(University of Waterloo, 2020-05-13)Weather and climate have a powerful influence on humans and society. The ways in which individuals, organizations, and communities are sensitive to weather and climate varies considerably due to social, economic, institutional, ... -
Data-Driven Estimation of Soiling Loss and Optimal Cleaning Schedule for a Utility-Scale PV Plant
(University of Waterloo, 2023-04-19)Soiling of panels in solar power plants can reduce production levels. In this thesis, we estimate the effect of soiling on power production and efficiency, as well as the gains from cleaning. Power data from a plant in ... -
Data-Driven Inverse Optimization with Applications in Electricity Markets
(University of Waterloo, 2023-01-19)Due to the increasing penetration of renewable resources and demand response instruments in the electricity markets, generation planning models have become more complex and require detailed information on the inherent ... -
Data-Driven Methods for System Identification and Lyapunov Stability
(University of Waterloo, 2023-01-27)This thesis focuses on data-driven methods applied to system identification and stability analysis of dynamical systems. In the first major contribution of the theorem we propose a learning framework to simultaneously ... -
Data-driven Models for Inferring the Patient Scheduling Policies via Inverse Reinforcement Learning
(University of Waterloo, 2024-01-23)In this work, we study multi-class patient scheduling with stochastic daily patient arrivals. Different classes of patients are characterized by different service times, waiting cost parameters, and rejection cost parameters. ... -
Data-Driven Models: An Alternative Discrete Hedging Strategy
(University of Waterloo, 2023-08-16)Options hedging is a critical problem in financial risk management. The prevailing approach in financial derivative pricing and hedging has been to first assume a parametric model describing the underlying price dynamics. ... -
Data-Driven Network Management for Next-Generation Wireless Networks
(University of Waterloo, 2022-09-09)With the commercialization and maturity of the fifth-generation (5G) wireless networks, the next-generation wireless network (NGWN) is envisioned to provide seamless connectivity for mobile user terminals (MUTs) and to ... -
A data-driven optimization approach for mixed-case palletization and three-dimensional bin packing
(University of Waterloo, 2018-01-18)Palletization is the most standard method of packaging and transportation in the retail industry. Their building involves the solution of a three-dimensional packing problem with side practical constraints such as item ... -
Data-driven Optimization: Applications to Energy Infrastructure and Process Industry
(University of Waterloo, 2021-12-20)Nowadays, the existence and ease of access to massive amounts of data encourage proposing data-driven solutions. As optimization has always been based on the interchange between models and data, high-level optimization ... -
Data-driven Regularization and Uncertainty Estimation to Improve Sea Ice Data Assimilation
(University of Waterloo, 2019-06-20)Accurate estimates of sea ice conditions such as ice thickness and ice concentration in the ice-covered regions are critical for shipping activities, ice operations and weather forecasting. The need for this information ... -
Data-driven Structure Detection in Optimization: Decomposition, Hub Location, and Brain Connectivity
(University of Waterloo, 2018-07-13)Employing data-driven methods to efficiently solve practical and large optimization problems is a recent trend that focuses on identifying patterns and structures in the problem data to help with its solution. In this ... -
Data-guided statistical sparse measurements modeling for compressive sensing
(University of Waterloo, 2013-04-22)Digital image acquisition can be a time consuming process for situations where high spatial resolution is required. As such, optimizing the acquisition mechanism is of high importance for many measurement applications. ... -
Data-intensive Scheduling
(University of Waterloo, 2019-09-19)In many modern data management scenarios, we encounter tasks, operations or computational phases that are data-intensive where the sheer volume of data proves to be overwhelming to handle and becomes a performance bottleneck. ... -
Database High Availability using SHADOW Systems
(University of Waterloo, 2014-03-21)Various High Availability DataBase systems (HADB) are used to provide high availability. Pairing an active database system with a standby system is one commonly used HADB techniques. The active system serves read/write ... -
Dataset Creation and Imbalance Mitigation in Big Data: Enhancing Machine Learning Models for Forest Fire Prediction
(University of Waterloo, 2023-10-19)Historically, forest fire prediction methods have leaned on heuristics, local insights, and basic statistical models, often neglecting the complex interplay of variables such as temperature, humidity, wind speed, and ... -
Dazzled and Confused: Bullshitting as a Strategic Behaviour
(University of Waterloo, 2023-12-05)While much work has focused on receptivity to bullshit as a form of irrational belief which may predict the endorsement of other irrational beliefs, much less has been done examining how bullshit may be used strategically. ... -
DC, Microwave and Optoelectronic Characterization of YBa2Cu3O7-x Nano-Scale Thin Film Structures
(University of Waterloo, 2012-09-26)The nonlinear electrodynamic characteristics and presence of vortex dynamics in pseudo 2-dimensional microbridges make them attractive to design novel passive and active microwave circuits. Before such applications could ...