Now showing items 2904-2923 of 15628

    • Data Driven Modelling and Optimization of MEA Absorption Process for CO2 Capture 

      Shalaby, Abdelhamid (University of Waterloo, 2020-05-27)
      Global warming is a rising issue and there are many research studies aiming to reduce greenhouse gas emissions. Carbon capture and storage technologies improved throughout the years to contribute as a solution to this ...
    • Data Flow Analysis in the Presence of Correlated Calls 

      Rapoport, Marianna (University of Waterloo, 2014-08-19)
      This thesis presents a technique to improve the precision of data-flow analyses on object-oriented programs in the presence of correlated calls. We say that two method calls are correlated if they are polymorphic (have ...
    • Data Fusion for Materials Location Estimation in Construction 

      Navabzadeh Razavi, Saiedeh (University of Waterloo, 2010-04-29)
      Effective automated tracking and locating of the thousands of materials on construction sites improves material distribution and project performance and thus has a significant positive impact on construction productivity. ...
    • A Data Mining Approach for Detecting Evolutionary Divergence in Transcriptomic Data 

      Woody, Owen (University of Waterloo, 2019-11-19)
      It has become common to produce genome sequences for organisms of scientific or popular interest. Although these genome projects provide insight into the gene and protein complements of a species including their evolutionary ...
    • Data Protection in Big Data Analysis 

      Shafieinejad, Masoumeh (University of Waterloo, 2021-08-30)
      "Big data" applications are collecting data from various aspects of our lives more and more every day. This fast transition has surpassed the development pace of data protection techniques and has resulted in innumerable ...
    • Data Reduction Algorithms in Machine Learning and Data Science 

      Ghojogh, Benyamin (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 

      Inozemtseva, Laura Michelle McLean (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 

      Wu, Zhiping (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 

      Rahman, Mohammad Ziaur (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 

      Chu, Wesley (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 

      Unsal, Emre Berk (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 

      Jiang, Yangzi (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 

      De Vlugt, Isaac (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 

      Cann, Matthew (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 

      Matthews, Lindsay (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 

      Bora, Abhinav (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 

      Rafieepouralavialavijeh, Ali (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 

      Quartz, Thanin (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 

      Moradi, Parham (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 

      Nian, Ke (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. ...

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