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Skip to Search Results- 101Machine learning
- 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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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...
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2021-01-01
Arezoo Haratian, Hadi Fazelinia, Zeinab Maleki, Pouria Ramazi, Hao Wang, Mark A. Lewis, Russell Greiner, David Wishart
This dataset provides information related to the outbreak of COVID-19 disease in the United States, including data from each of 3142 US counties from the beginning of the outbreak (January 2020) until June 2021. This data is collected from many public online databases and includes the...
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Fall 2015
Understanding how an artificial agent may represent, acquire, update, and use large amounts of knowledge has long been an important research challenge in artificial intelligence. The quantity of knowledge, or knowing a lot, may be nicely thought of as making and updat- ing many predictions about...
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Development and Applications of Mechanics- and Data-based Capacity Models for Intact/Corroded Prestressed Concrete Bridge Girders
DownloadFall 2022
Prestressed concrete (PC) highway bridges represent an integral part of the transportation network and contribute significantly to socio-economic development. However, highway bridges are susceptible to Deterioration and thus exhibit structural deficiency after years of service, especially in the...
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Development and Validation of an Automated Essay Scoring Framework by Integrating Deep Features of English Language
DownloadFall 2016
Automated scoring methods have become an important topic for the assessments of 21st century skills. Recent development in computational linguistics and natural language processing has given rise to more rational based methods for the extraction and modeling of language features. The language...