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  • Coding Strip: A Tool for Supporting Interplay within Abstraction Ladder for Computational Thinking 

    Suh, Sangho (University of Waterloo, 2022-05-20)
    As technologies advance and play an increasingly larger role in our lives, computational thinking---the ability to understand computing concepts and procedures and their role in the tools we use---has become an important ...
  • A Generalized Adversary Method for Quantum Query Complexity 

    Soiffer, Rory (University of Waterloo, 2022-05-20)
    Quantum query complexity measures the minimum number of queries a quantum algorithm needs to make to some input string to compute a function of that input. Query complexity models are widely used throughout quantum computing, ...
  • MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenome-assembled genomes 

    Wanxin, Li (University of Waterloo, 2022-05-19)
    We propose MT-MAG, a novel machine learning-based software tool for the complete or partial hierarchically-structured taxonomic classification of metagenome-assembled genomes (MAGs). MT-MAG is capable of classifying large ...
  • Analysis of a pressure-robust hybridized discontinuous Galerkin method for the stationary Navier-Stokes equations 

    Kirk, Keegan L.A.; Rhebergen, Sander (Springer, 2019-08-30)
    We present well-posedness and an a priori error analysis of the hybridized discontinuous Galerkin method for the stationary form of the Navier-Stokes problem proposed in (J Sci Comput, 76(3):1484{ 1501, 2018). This scheme ...
  • Dispersing representations of semi-simple subalgebras of complex matrices 

    Marcoux, Laurent W.; Radjavi, Heydar; Zhang, Yuanhang (Elsevier, 2022-06-01)
    In this paper we consider the problem of determining the maximum dimension of P?(A!B)P, where A and B are unital, semi-simple subalgebras of the set Mn of n⇥n complex matrices, and P 2 M2n is a projection of rank n. We ...
  • Mathematical Modeling of Kidney Function During Pregnancy 

    Stadt, Melissa Maria (University of Waterloo, 2022-05-16)
    During pregnancy major adaptations must occur in the maternal body to be able to support the rapidly developing fetus and placenta. Adaptations occur in almost all tissues and organs. These changes are dynamic, complex, ...
  • On First Passage Time Related Problems for Some Insurance Risk Processes 

    Wang, Zijia (University of Waterloo, 2022-05-13)
    For many decades, the study of ruin theory has long been one of the central topics of interest in insurance risk management. Research in this area has largely focused on analyzing the insurer’s solvency risk, which is ...
  • Improved Model Poisoning Attacks and Defenses in Federated Learning with Clustering 

    Li, Xinda (University of Waterloo, 2022-05-12)
    Federated Learning (FL) allows multiple participants to collaboratively train a deep learning model without sharing their private training data. However, due to its distributive nature, FL is vulnerable to various poisoning ...
  • Some Mathematical Perspectives of Graph Neural Networks 

    Nguyen, Duy (University of Waterloo, 2022-05-12)
    Many real-world entities can be modelled as graphs, such as molecular structures, social networks, or images. Despite coming with such a great expressive power, the complex structure of graphs poses significant challenges ...
  • STPA-Sec Applied to Path Planning: Quantum-Safe Autonomous Vehicles 

    Jepson, David (University of Waterloo, 2022-05-12)
    Autonomous vehicles and quantum computers are two emerging technologies that will transform our world in the not-too-distant future. This thesis examines the safety and security of autonomous vehicles in a world where ...
  • A Sparse Random Feature Model for Signal Decomposition 

    Richardson, Nicholas Joseph Emile (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 ...
  • A Two-Tier Storage Interface for Low-Latency Kubernetes Deployments 

    Ionita, Teodor Alexandru (University of Waterloo, 2022-05-11)
    Orchestration systems are responsible for automating the management of software deployments on computer systems, managing large numbers of machines. Edge computing is a decentralized compute model describing how compute ...
  • Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search 

    Zhang, Dake; Vakili Tahami, Amir; Abualsaud, Mustafa; Smucker, Mark (ACM, 2022-07)
    When searching the web for answers to health questions, people can make incorrect decisions that have a negative effect on their lives if the search results contain misinformation. To reduce health misinformation in search ...
  • OFF-DIAGONAL CORNERS OF SUBALGEBRAS OF L(Cn) 

    Marcoux, Laurent W.; Radjavi, Heydar; Zhang, Yuanhang (Elsevier, 2020-12-15)
    Let n ∈ N, and consider Cn equipped with the standard inner product. Let A ⊆ L(Cn) be a unital algebra and P ∈ L(Cn) be an orthogonal projection. The space L := P ⊥A|ran P is said to be an off-diagonal corner of A, and L ...
  • MATRIX ALGEBRAS WITH A CERTAIN COMPRESSION PROPERTY I 

    Cramer, Zachary; Marcoux, Laurent W.; Radjavi, Heydar (Elsevier, 2021-07-15)
    An algebra A of n × n complex matrices is said to be projection compressible if P AP is an algebra for all orthogonal projections P ∈ Mn(C). Analogously, A is said to be idempotent compressible if EAE is an algebra for all ...
  • ALGEBRAIC DEGREE IN SPATIAL MATRICIAL NUMERICAL RANGES OF LINEAR OPERATORS 

    Bernik, Janez; Livshits, Leo; MacDonald, Gordon W.; Marcoux, Laurent W.; Mastnak, Mitja; Radjavi, Heydar (American Mathematical Society, 2021-07-20)
    We study the maximal algebraic degree of principal ortho-compressions of linear operators that constitute spatial matricial numerical ranges of higher order. We demonstrate (amongst other things) that for a (possibly ...
  • OPERATORS WHICH ARE POLYNOMIALLY ISOMETRIC TO A NORMAL OPERATOR 

    Marcoux, Laurent W.; Zhang, Yuanhang (American Mathematical Society, 2020-01-15)
    Let H be a complex, separable Hilbert space and B(H) denote the algebra of all bounded linear operators acting on H. Given a unitarily-invariant norm k · ku on B(H) and two linear operators A and B in B(H), we shall say ...
  • JITGNN: A Deep Graph Neural Network for Just-In-Time Bug Prediction 

    Keshavarz, Hossein (University of Waterloo, 2022-05-10)
    Just-In-Time (JIT) bug prediction is the problem of predicting software failure immediately after a change is submitted to the code base. JIT bug prediction is often preferred to other types of bug prediction (subsystem, ...
  • A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home 

    Paganelli, Antonio Iyda; Velmovitsky, Pedro Elkind; Miranda, Pedro; Branco, Adriano; Alencar, Paulo; Cowan, Donald; Endler, Markus; Morita, Plinio Pelegrini (Elsevier, 2022-05)
    Due to the COVID-19 pandemic, health services around the globe are struggling. An effective system for monitoring patients can improve healthcare delivery by avoiding in-person contacts, enabling early-detection of severe ...
  • Normal operators with highly incompatible off-diagonal corners 

    Marcoux, Laurent W.; Radjavi, Heydar; Zhang, Yuanhang (Polish Academy of Sciences, 2020-05-25)
    Let H be a complex, separable Hilbert space, and B(H) denote the set of all bounded linear operators on H. Given an orthogonal projection P∈B(H) and an operator D∈B(H), we may write D=[D1D3D2D4] relative to the decomposition ...

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