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Skip to Search Results- 29Graduate and Postdoctoral Studies (GPS), Faculty of
- 29Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Toolkit for Grant Success
- 3Toolkit for Grant Success/Successful Grants (Toolkit for Grant Success)
- 2Agricultural, Food and Nutritional Science, Department of
- 2Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
- 10Department of Civil and Environmental Engineering
- 6Department of Electrical and Computer Engineering
- 4Department of Chemical and Materials Engineering
- 3Department of Computing Science
- 2Department of Earth and Atmospheric Sciences
- 2Department of Mechanical Engineering
- 3Deutsch, Clayton (Civil and Environmental Engineering)
- 2Alessi, Daniel (Earth and Atmospheric Sciences)
- 2Jing, Yindi (Electrical and Computer Engineering)
- 2Musilek, Petr (Electrical and Computer Engineering)
- 2Stevan Dubljevic (Department of Chemical and Materials Engineering)
- 1Ahmad, Rafiq (Mechanical Engineering)
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Spring 2023
Cost-guided bottom-up search (BUS) algorithms use a cost function to guide the search for solving program synthesis tasks. In this thesis, we show that current state-of-the-art cost-guided BUS algorithms suffer from a common problem: they can lose useful information given by the model and fail to...
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Redefining the tool condition monitoring: A framework for machining quality prediction and tool life management
DownloadSpring 2021
Tool wear morphology is one of the established topics in the field of manufacturing. Wear morphology monitoring offers significant information about the machining process such as, the condition of the tool and the quality of the machined component, but the information has not been utilized to its...
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Residential construction manufacturing estimating framework: the case of lightweight timber framing
DownloadFall 2020
The term industrialized construction was adopted by the offsite construction industry where the building components are prefabricated in factories and then transported to the construction site for on-site assembly. With this shift towards industrialized construction, new challenges were...
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Spring 2016
Improving the accuracy of estimates is of great importance in the mining industry. These estimates can be improved with the use of available secondary data. This includes any less trusted data source containing bias and error such as production sampling, legacy drill holes, or cheaper lower...
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2022-04-05
Konnikov, Alla, Rets, Irina, Hughes, Karen D., Al-Ani, Jabir Alshehabi, Denier, Nicole, Ding, Lei, Hu, Shenggang, Hu, Yang, Jiang, Bei, Kong, Linglong, Tarafdar, Monideepa, Yu, Dengdeng
The BIAS case study describes the aims and objectives of the ‘BIAS: Responsible AI for labour market equality’ project, the research process, and the lessons learned at the mid-way point of the project. It draws on two main sources of information: interviews conducted internally with six founding...
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Fall 2011
In this dissertation we discuss problems of search, inference and opponent modelling in imperfect information games in the context of creating a computer player for the popular german card game skat. In so doing, we demonstrate three major contributions to the field of artificial intelligence...
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Fall 2014
Multi-input-multi-output (MIMO) system, due to its large channel capacity and high reliability, has been widely studied in numerous existing work. It has a lot of applications in reality, e.g., 3GPP and LTE standards. These advantages owes to the understanding of the MIMO channel, which shows the...
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2019-10-01
SSHRC IG awarded 2020: the goal of this project is to uncover the work and decisions involved in collecting, organizing, and changing the data used by algorithms, using business ethnographic methodology. This understanding is ultimately critical to revealing how algorithms work, and to revealing...
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2019-10-01
SSHRC IG awarded 2020: The global economy is on the verge of a profound transformation as artificial intelligence (AI) achieves and exceeds human-level abilities in a growing number of domains. Canada is already a world leader in the development and commercialization of AI technologies. However,...
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Using Artificial Neural Networks to Create and Assign Subject Headings to New Publications: A Review of the Literature
Download2019-02-08
Artificial neural networks (ANNs) are complex systems of hardware and software that mimic intuitive learning and decision-making based on pattern recognition. Mathematical formulae are used to assign weights to each factor being evaluated for a decision. This review examines existing literature...