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Skip to Search Results- 109Machine learning
- 20Image processing
- 10Artificial intelligence
- 5Reinforcement learning
- 4Directionality
- 4Natural language processing
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Kouritzin, Michael
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 97Graduate and Postdoctoral Studies (GPS), Faculty of
- 97Graduate 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))
- 5Biological Sciences, Department of
- 5Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 97Thesis
- 10Report
- 7Article (Published)
- 5Article (Draft / Submitted)
- 4Research Material
- 3Conference/Workshop Poster
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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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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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Advanced Machine Learning Techniques for Analysis of 4D Brain Images in Ischemic Stroke Diagnosis and Assessment
DownloadFall 2023
Acute Ischemic Stroke (AIS), a devastating cerebrovascular disorder, is one of the leading causes of disability and mortality worldwide. It occurs when the blood supply to a part of the brain is interrupted, resulting in the deprivation of oxygen and nutrients, leading to neuronal damage and...
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Fall 2023
Monitoring industrial processes is essential to maintain efficient and safe operation. An alarm system is an imperative component of industrial process monitoring, as it alerts operators to abnormal conditions. Alarms indicate when the process is disrupted, which allows operators to react...