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Skip to Search Results- 3Aaron Luchko
- 3Cumming, Steve
- 2Armstrong, Glen
- 2Fayek, Aminah Robinson
- 2Kale, V.
- 2Kedir, Nebiyu Siraj
- 76Graduate and Postdoctoral Studies (GPS), Faculty of
- 76Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Computing Science, Department of
- 4Mechanical Engineering, Department of
- 4Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
- 3Computing Science, Department of/Research Data and Materials (Computing Science)
- 76Thesis
- 6Article (Published)
- 4Article (Draft / Submitted)
- 3Report
- 2Dataset
- 1Conference/Workshop Poster
- 21Department of Civil and Environmental Engineering
- 13Department of Computing Science
- 12Department of Electrical and Computer Engineering
- 11Department of Chemical and Materials Engineering
- 5Department of Mechanical Engineering
- 2Department of Agricultural, Food, and Nutritional Science
- 3Huang, Biao (Chemical and Materials Engineering)
- 2AbouRizk, Simaan (Department of Civil and Environmental Engineering)
- 2Bouferguene, Ahmed (Campus Saint-Jean)
- 2Dinavahi, Venkata (Electrical and Computer Engineering)
- 2Liang, Hao (Electrical and Computer Engineering)
- 1Adamowicz, Wiktor (Resource Economics and Environmental Sociology)
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Spring 2020
Electricity is an essential part of our daily life which can be supplied by power systems with fossil fuels or renewable energy sources. Nowadays, traditional power systems are evolving towards new smart grid with the development of advanced information and communication technology. Compared with...
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Spring 2019
Seyedeh Negar Tavafzadeh Haghi
Pavements in cold regions are prone to frost damages during winter as a result of prolong sever below zero temperature. Frost heave can negatively affect the performance and ride quality of the road. At the end of the frost season, when thawing begins in the sublayers, pore water pressure builds...
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Fall 2023
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and training of binary networks. Still, these discrete problems are combinatorial in nature and are also not amenable to...