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- 35Reinforcement learning
- 10Artificial intelligence
- 5Online learning
- 4Predictions
- 3Artificial Intelligence
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 2Fan, Chengkai
- 102Graduate and Postdoctoral Studies (GPS), Faculty of
- 102Graduate 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))
- 6Computing Science, Department of
- 5Biological Sciences, Department of
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Applying Machine Learning Techniques to Improving Truck Productivity Prediction Accuracy at Mine Sites
DownloadFall 2023
In oil sands mining, off-the-road trucks play a leading role in transporting bulk materials (ores and waste). The productivity of truck haulage (also referred to as truck productivity), defined as the truck payload per unit time in each truck haulage cycle, is of great interest to the mining...
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Fall 2011
With increasing software size and complexity, corrective software maintenance has become a challenging process. When a failure is reported, it takes time and expertise for human operators to collect the right information and pinpoint the root cause. Typically, the operators are overloaded with...
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Fall 2021
An oft-ignored challenge of real-world reinforcement learning is that, unlike standard simulated environments, the real world does not pause when agents make learning updates. As standard simulated environments do not address this real-time aspect of learning, most available implementations of...
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2019-12-10
Frishkopf, Michael, Papathanassoglou, Elizabeth, Hindle, Abram, Kutsogiannis, Demetrios
NFRF Exploration awarded in 2020: High stress levels, delirium, and sleep deprivation are common among critically-ill patients and may compromise recovery and survival as well as increase length and costs of hospital stays. Pharmacologic approaches are the usual mode of treatment for...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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Spring 2018
Facial expressions and other body language are important for human commu- nication. They complement speech and make the process of communication simple and sustainable. However, the process of communication using existing approaches to human-machine interaction is not intuitive as that of human...
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Breaking the wall of silence of trees Mining metabolomics to describe hybridization and predict performance in the Populus – Sphaerulina musiva pathosystem
DownloadFall 2017
Stem canker diseases in poplars caused by the fungal pathogen Sphaerulina musiva Peck. remain some of the least understood forest diseases despite causing considerable damage, particularly in hybrid poplar plantations. S. musiva is endemic to eastern Canada in provinces including the Maritimes,...
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2021-10-12
This project presents a website which is also a web application for data visualization and machine learning. This project contains three parts which are front-end website development (mainly focusing on HTML5, CSS3, bootstrap and JavaScript), back-end server (mainly working with database and...
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Fall 2018
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...