Browsing Theses by Title
Now showing items 8666-8685 of 15594
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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 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 ... -
Machine Learning Model for Repurposing Drugs to Target Viral Diseases
(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 modelling in predicting and optimizing PLGA nanoparticle encapsulation efficiency and therapeutic efficacy
(University of Waterloo, 2023-09-20)Nanoparticles (NP) have become a promising drug delivery system in the past few decades in pharmaceutics for its diversity in encapsulating different types of drugs, including proteins/peptides, nucleic acids and small ... -
Machine Learning Techniques and Stochastic Modeling in Mathematical Oncology
(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
(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
(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
(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
(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
(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 ... -
Machine-Level Software Optimization of Cryptographic Protocols
(University of Waterloo, 2014-04-30)This work explores two methods for practical cryptography on mobile devices. The first method is a quantum-resistant key-exchange protocol proposed by Jao et al.. As the use of mobile devices increases, the deployment of ... -
MachineFlow: A Web Tool to Adaptively Select EDA Tool Parameters for Digital ICs Using Statistical Learning
(University of Waterloo, 2016-10-26)Digital integrated circuits (ICs) are the driving force behind computing, communication and entertainment in today’s world. More powerful and energy efficient ICs continue to be designed and built by the semiconductor ... -
Machining Chatter in Flank Milling and Investigation of Process Damping in Surface Generation
(University of Waterloo, 2011-12-06)Although a considerable amount of research exists on geometrical aspects of 5-axis flank milling, the dynamics of this efficient milling operation have not yet been given proper attention. In particular, investigating ... -
Machining Speed Gains in a 3-Axis CNC Lathe Mill
(University of Waterloo, 2010-08-04)The intent of this work is to improve the machining speed of an existing 3 axis CNC wood working lathe. This lathe is unique in that it is a modi ed manual lathe that is capable of machining complex sculptured surfaces. ...