Browsing University of Waterloo by Title
Now showing items 10341-10360 of 18721
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An l¦1 penalty function approach to the nonlinear bilevel programming problem
(University of Waterloo, 1997) -
L’affaire Dubuisson : Je vous écris dans le noir et La petite femelle
(University of Waterloo, 2017-08-01)Le fait divers est une réalité quotidienne qui fait partie de notre culture et de notre société. Il insiste sur la rareté et l’imprévisibilité d’un incident tout en donnant l’impression, de par sa forte médiatisation, que ... -
L’identification à la langue française chez les apprenants du français langue seconde
(University of Waterloo, 2017-09-27)La présente étude se penche sur l’identification à la langue française chez les apprenants du français langue seconde, qui font leurs études universitaires, et explore leurs expériences positives et négatives pendant leurs ... -
M-current induced Bogdanov–Takens bifurcation and switching of neuron excitability class
(Springer, 2021-02-15)In this work, we consider a general conductance-based neuron model with the inclusion of the acetycholine sensitive, M-current. We study bifurcations in the parameter space consisting of the applied current Iapp, the maximal ... -
MAC Constructions: Security Bounds and Distinguishing Attacks
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 in Driver Drowsiness Detection: A Focus on HRV, EDA, and Eye Tracking
(University of Waterloo, 2023-09-25)Drowsy driving continues to be a significant cause of road traffic accidents, necessi- tating the development of robust drowsiness detection systems. This research enhances our understanding of driver drowsiness by analyzing ... -
Machine Learning in the Nuclear Medicine: Part 1-Introduction
(Society of Nuclear Medicine and Molecular Imaging, 2019-04)This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when ... -
Machine Learning in the Nuclear Medicine: Part 2-Neural Networks and Clinical Aspects
(Society of Nuclear Medicine and Molecular Imaging, 2021-01)This article is the second part in our machine learning series. Part 1 provided a general overview of machine learning in nuclear medicine. Part 2 focuses on neural networks. We start with an example illustrating how neural ... -
Machine Learning Methods for Annual Influenza Vaccine Update
(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 ...