Now showing items 8058-8077 of 14544

    • MAC Constructions: Security Bounds and Distinguishing Attacks 

      Mandal, Avradip (University of Waterloo, 2007-05-18)
      We provide a simple and improved security analysis of PMAC, a Parallelizable MAC (Message Authentication Code) defined over arbitrary messages. A similar kind of result was shown by Bellare, Pietrzak and Rogaway at ...
    • MAC Protocol Design for Parallel Link Rendezvous in Ad Hoc Cognitive Radio Networks 

      Al-Tamimi, Majid (University of Waterloo, 2010-01-26)
      The most significant challenge for next wireless generation is to work opportunistically on the spectrum without a fixed spectrum allocation. Cognitive Radio (CR) is the candidate technology to utilize spectrum white space, ...
    • Macabre Collectibles: Collecting Culture and Stephen King 

      Hosseini, Seyyed Mohsen (University of Waterloo, 2018-07-09)
      Objects have a significant place in Stephen King’s horror fiction and the landscape he has created in his numerous novels and short stories. The human-thing relationship in his fiction, however, has been generally reduced ...
    • Machane Yehuda 

      Feinberg, Michael (University of Waterloo, 2010-12-20)
      Modern Jerusalem has developed against a background of conflict between the European powers and the Ottoman Empire, between Jews and Arabs, and between religious and secular Jews. These conflicts have fragmented the urban ...
    • Machine Learning and Optimization Techniques for Trapped-ion Quantum Simulators 

      Teoh, Yi Hong (University of Waterloo, 2021-08-31)
      In recent years, quantum simulators have been the focus of intense research due to their potential in unraveling the inner workings of complex quantum systems. The exponential scaling of the Hilbert space of quantum systems ...
    • A Machine Learning Approach for RDP-based Lateral Movement Detection 

      Bai, Zhenyu (University of Waterloo, 2019-09-19)
      Detecting cyber threats has been an on-going research endeavor. In this era, advanced persistent threats (APTs) can incur significant costs for organizations and businesses. The ultimate goal of cybersecurity is to thwart ...
    • Machine Learning Approaches in Crystal Plasticity 

      Ibragimova, Olga (University of Waterloo, 2022-04-27)
      The continued advancements in material development and design require understanding the relationships between microstructure and flow behaviour. Crystal plasticity (CP) is a high-fidelity computational method that helps ...
    • Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data 

      Taneja, Kunal (University of Waterloo, 2020-04-28)
      Accurate modeling and simulation of data collected from a power plant system are important factors in the strategic planning and maintenance of the unit. Several non-linearities and multivariable couplings are associated ...
    • Machine Learning based Models for Fresh Produce Yield and Price Forecasting for Strawberry Fruit 

      Okwuchi, Ifeanyi (University of Waterloo, 2020-06-02)
      Building market price forecasting models of Fresh Produce (FP) is crucial to protect retailers and consumers from highly priced FP. However, the task of forecasting FP prices is highly complex due to the very short shelf ...
    • Machine Learning for SAT Solvers 

      Liang, Jia (University of Waterloo, 2018-12-07)
      Boolean SAT solvers are indispensable tools in a variety of domains in computer science and engineering where efficient search is required. Not only does this relieve the burden on the users of implementing their own search ...
    • Machine Learning for Software Dependability 

      Lutellier, Thibaud (University of Waterloo, 2020-11-10)
      Dependability is an important quality of modern software but is challenging to achieve. Many software dependability techniques have been proposed to help developers improve software reliability and dependability such as ...
    • Machine Learning for Streamflow Prediction 

      Gauch, Martin (University of Waterloo, 2020-04-16)
      Accurate prediction of streamflow—the amount of water flowing past a stream section at a given time—is a long-standing challenge in hydrology. Not only do researchers strive to understand the natural processes at play, the ...
    • Machine Learning Methods for Annual Influenza Vaccine Update 

      Tang, Lin (University of Waterloo, 2013-04-30)
      Influenza is a public health problem that causes serious illness and deaths all over the world. Vaccination has been shown to be the most effective mean to prevent infection. The primary component of influenza vaccine is ...
    • Machine Learning Model for Repurposing Drugs to Target Viral Diseases 

      Williams, Justine (University of Waterloo, 2023-01-26)
      With recent events, such as the Covid-19 pandemic, it is increasingly important to develop strategies to combat viral diseases. Due to technological advancements, computer-aided drug design and machine learning (ML)-based ...
    • Machine Learning Techniques and Stochastic Modeling in Mathematical Oncology 

      Eastman, Brydon (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 ...
    • Machine Learning Topological Defects of Liquid Crystals in Two Dimensions 

      Walters, Michael (University of Waterloo, 2019-08-26)
      Over the recent few years, condensed matter physics has keenly been testing out the compelling techniques from the toolbox of machine learning. Order parameters, phase transitions, and other thermodynamic quantities have ...
    • Machine Learning-based Detection of Compensatory Balance Responses and Environmental Fall Risks Using Wearable Sensors 

      Nouredanesh, Mina (University of Waterloo, 2016-08-31)
      Falls are the leading cause of fatal and non-fatal injuries among seniors worldwide, with serious and costly consequences. Compensatory balance responses (CBRs) are reactions to recover stability following a loss of balance, ...
    • Machine Learning-Based Time Series Modelling with Applications for Forecasting Regional Wind Power and Air Quality Index 

      Alkabbani, Hanin (University of Waterloo, 2021-08-27)
      Recently, time series forecasting has acquired a considerable academic and industrial interest in various areas for different applications. Machine learning (ML) algorithms are known for their ability to capture the chaotic ...
    • Machine-Learning Framework for Efficient Multi-Asset Rehabilitation Planning 

      Mostafa, Kareem Tarek (University of Waterloo, 2021-10-25)
      While smart cities are viewed as the way of the future, the infrastructure assets expected to support the different smart services are currently managed using frameworks that are outdated, subjective, and inefficient. Such ...
    • A Machine-Learning-Based Algorithm for Peptide Feature Detection from Protein Mass Spectrometry Data 

      Zeng, Xiangyuan (University of Waterloo, 2021-05-13)
      Liquid chromatography with tandem mass spectrometry (LC-MS/MS) has been widely used in proteomics. Two types of data, MS and MS/MS data, are produced in an LC- MS/MS experiment. The MS data contains signal peaks corresponding ...


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