Browsing Theses by Title
Now showing items 2893-2912 of 15549
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Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
Data Science for Software Maintenance
(University of Waterloo, 2017-04-26)Maintaining and evolving modern software systems is a difficult task: their scope and complexity mean that seemingly inconsequential changes can have far-reaching consequences. Most software development companies attempt ... -
Data Structures for Fast Access Control in ECM Systems
(University of Waterloo, 2014-08-08)While many access control models have been proposed, little work has been done on the efficiency of access control systems. Because the access control sub-system of an Enterprise Content Management (ECM) system may be a ... -
Data Structuring Problems in the Bit Probe Model
(University of Waterloo, 2007-09-25)We study two data structuring problems under the bit probe model: the dynamic predecessor problem and integer representation in a manner supporting basic updates in as few bit operations as possible. The model of computation ... -
Data, Debt & Daemons: Systemic Asymmetries on Spaceship Earth
(University of Waterloo, 2019-10-17)Day by day, the rate at which we create new data increases exponentially. Our capacity to learn cannot keep up. We are tiny members of a vast universal network, incapable of discerning cause and effect. Instead, we develop ... -
Data-Driven Analysis of Optimal Repositioning in Dockless Bike-Sharing Systems
(University of Waterloo, 2022-08-29)Bike-sharing systems provide sustainable and convenient mobility services for short-distance transportation in urban areas. The dockless or free-floating bike-sharing systems allow users to leave vehicles at any location ... -
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 ...