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Skip to Search Results- 97Machine learning
- 37Artificial intelligence
- 6Reinforcement learning
- 4Game theory
- 4Predictions
- 3Competition
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Noonari, Juned (Supervisor)
- 4Russell Greiner
- 3Pouria Ramazi
- 2Barker, Thomas (Supervisor)
- 91Graduate and Postdoctoral Studies (GPS), Faculty of
- 91Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 8Master of Science in Internetworking (MINT)
- 8Master 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)
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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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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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2022-03-24
Traditional enterprise networking requires lots of manual operation, such as manual troubleshooting, configuration, monitoring and analysis. Especially for large enterprises, which might have hundreds or even thousands of sites, the labor cost of manual operation is exceptionally high, and the...
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2021-09-28
UNESCO Information For All Programme (IFAP)
On 28th September 2021, the Artificial Intelligence for Information Accessibility (AI4IA) Conference explored nine themes on the promotion of accessibility by AI. These themes were: AI Policy and Ethics, AI and Society, AI and Healthcare, Media and the Right to Know, AI & Law, AI & Big Data and...
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2021-09-28
UNESCO Information For All Programme (IFAP)
This year the Artificial Intelligence for Information Accessibility (AI4IA) Conference explored nine themes of how AI can promote accessibility. More than 73 presenters contributed in their unique and varied ways to each of AI4IA thematic areas. These themes were: AI Policy and Ethics, AI and...