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- 9Artificial intelligence
- 8Alignments
- 5Reinforcement learning
- 4Natural language processing
- 3Data mining
- 78Graduate and Postdoctoral Studies (GPS), Faculty of
- 78Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 9Biological Sciences, Department of
- 9Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 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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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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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...
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Fall 2017
Massive amounts of user behavior logs and sensor data are generated on mobile devices, which can help to improve the usability of social media apps and other intelligent apps. However, collecting such personal data may spark privacy and legal concerns. Recently, many efforts in both academia and...
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Spring 2016
One of the key obstacles to the effective use of mass spectrometry (MS) in high throughput metabolomics is the difficulty in interpreting measured spectra to accurately and efficiently identify metabolites. Traditional methods for automated metabolite identification compare the target MS spectrum...
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Fall 2009
The analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...
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Computational investigation of the effect of microstructure on the scratch resistance of tungsten-carbide nickel composite coatings
Download2021-08-15
Parsazadeh, Mohammad, Fisher, Gary, McDonald, André, Hogan, James D.
Sliding wear was simulated for tungsten carbide-nickel (WC-Ni) composites with different WC particle sizes and volume fractions under various normal forces. Johnson-Cook and Johnson-Holmquist models were employed to simulate the mechanical behaviour of the Ni and WC phases, respectively. Using...
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Computational support systems for prediction and characterization of protein crystallization outcomes
DownloadFall 2013
Analysis of protein structures may reveal their function, regulation and interactions. Almost 90% of the known protein structures were solved using X-ray crystallography; however, many more structures remain unsolved. Protein Structure Initiative (PSI) project was created to speed up structure...