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Skip to Search Results- 101Machine learning
- 75Adsorption
- 9Artificial intelligence
- 7Biochar
- 5Activated Carbon
- 5Reinforcement learning
- 5Kuznicki, S. M.
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Jin, Zhehui
- 3Noonari, Juned (Supervisor)
- 126Graduate and Postdoctoral Studies (GPS), Faculty of
- 126Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8WISEST Summer Research Program
- 8WISEST Summer Research Program/WISEST Research Posters
- 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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2021-01-01
Automated hacking is a modern approach to conduct computer hacking with a significantly higher performance rate directly or remotely. Automated hacking is carried out by computer programs that are programmed to analyze the vulnerability of a system(s) and carry out hacking attacks based on the...
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Fall 2017
Water contamination by ammonium ions presents huge risks to the ecosystems. This work evaluated the potential application of digested sludge pyrolyzed biochar on ammonium removal. Anaerobic digester sludge was collected from a municipal wastewater treatment plant in Alberta, Canada and pyrolyzed...
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Application of Machine Learning in the Big Data for Broiler Breeders Recorded by a Precision Feeding System
DownloadSpring 2021
A precision feeding (PF) system developed at the University of Alberta is an innovation in precise nutrition and management for broiler breeders. The PF system can automatically feed individual broiler breeders and record vast amounts of real-time data regarding the feeding activity of individual...
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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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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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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,...