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Skip to Search Results- 97Machine learning
- 83Optimization
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- 5Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Aaron Luchko
- 3Cumming, Steve
- 3Noonari, Juned (Supervisor)
- 144Graduate and Postdoctoral Studies (GPS), Faculty of
- 144Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
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- 144Thesis
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- 46Department of Computing Science
- 25Department of Civil and Environmental Engineering
- 19Department of Electrical and Computer Engineering
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- 6Department of Agricultural, Food, and Nutritional Science
- 8Greiner, Russell (Computing Science)
- 6Schuurmans, Dale (Computing Science)
- 4Bowling, Michael (Computing Science)
- 3Huang, Biao (Chemical and Materials Engineering)
- 2AbouRizk, Simaan (Department of Civil and Environmental Engineering)
- 2Al-Hussein, Mohamed (Civil and Environmental Engineering)
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2021-01-01
The advent of the internet and the World Wide Web has made vast amounts of information accessible at our fingertips. It is said that an average person living in the modern society is exposed to as much information in a day as a person who lived 100 years ago would have seen in a whole year. But...
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A Machine Learning Approach to Predict Production Time in Industrialized Building Construction
DownloadFall 2021
Industrialized building construction is an effective approach for improving the performance and management of construction projects by offering higher quality products, minimized environmental impacts, and improved schedule predictability. The industrialized building construction approach...
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Fall 2014
In today’s vehicle applications, Selective Catalytic Reduction (SCR) ammonia dosing is completed using complex control algorithms that need to be parameterized for the individual catalytic converter technology. The parameterization of these control strategies is not always completed during the...
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A comparative study between optimal metal and composite rotors for flywheel energy storage systems
Download2018-11-01
Most recent research on flywheel rotors has focused on high-speed composite rotors as the storage element of the flywheel energy storage system (FESS). Literature research indicates that this is primarily due to the high specific energy of composites compared to metals. However, a quantitative...
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A comparative study between optimal metal and composite rotors for flywheel energy storage systems
Download2018-01-01
Most recent research on flywheel rotors has focused on high-speed composite rotors as the storage element of the flywheel energy storage system (FESS). Literature research indicates that this is primarily due to the high specific energy of composites compared to metals. However, a quantitative...
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Spring 2010
This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the form of metabolic pathways. A metabolic pathway describes a set of chemical reactions that...
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A framework for offsite construction manufacturing process improvement through digitalization and automated real-time data collection
DownloadFall 2022
This thesis proposes methods to apply real-time data to improve manufacturing operations in offsite construction using a combination of tools such as simulation, machine learning, and exploratory data analysis. These methods are applied to increase flexibility in operations and digitalize the...
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2020-11-01
Seresht, Nima Gerami, Lourenzutti, Rodolfo, Fayek, Aminah Robinson
Fuzzy inference systems (FISs) are a predictive modeling technique based on fuzzy sets that utilize approximate reasoning to mimic the decision-making process of human experts. There are several expert- and data-driven methods for developing FISs, among which fuzzy clustering algorithms are the...
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Spring 2010
In this work, we present a unified, general approach to variance reduction in agent evaluation using machine learning to minimize variance. Evaluating an agent's performance in a stochastic setting is necessary for agent development, scientific evaluation, and competitions. Traditionally,...
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2015-01-01
Sperling, F. A. H., Polet, D. T., Flynn, M.R.
Microstructures on insect wings can promote directional drop shedding, and the local orientation of these structures is expected to facilitate drop removal. However, microstructures may exhibit very different orientations at different locations on the wing. Using the march fly Penthetria...