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Skip to Search Results- 21Department of Civil and Environmental Engineering
- 15Department of Computing Science
- 13Department of Electrical and Computer Engineering
- 12Department of Chemical and Materials Engineering
- 7Department of Mechanical Engineering
- 5Department 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)
- 2Prasad, Vinay (Chemical and Materials Engineering)
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Spring 2022
Artificial Neural Network (ANN) has gained great interest in industrial applications due to their supremacy in modelling complex process behaviour. Applications of ANN include process modelling, optimization and fault diagnosis. However, pure data-driven approaches that use only observations to...
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Fall 2021
The warm vaporized solvent injection process has been proposed as a more environmentally friendly alternative to steam-based technologies for bitumen recovery. The process typically involves injecting heated solvent vapor into a horizontal injector; the solvent condenses and dissolves into...
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New Fast and Accurate Steady-State Analysis Approach for Design, Optimization, and Simulation of General Power Converter Systems
DownloadSpring 2023
Accurate steady-state analysis of power converters are essential for converter design and optimization. Steady-state responses are also useful for component selection, loss calculation, identification of soft switching operation, and small signal modeling of power converters. Normally, a...
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Spring 2022
During the past 10 years, we have witnessed the proliferation of cloud computing services and their adoption in the industry. This rapid growth has been mainly due to economies of scale, improving resource utilization, infinite computing resources on demand, and pay per use cost model. However,...
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Fall 2021
The optimization of non-convex objective functions is a topic of central interest in machine learning. Remarkably, it has recently been shown that simple gradient-based optimization can achieve globally optimal solutions in important non-convex problems that arise in machine learning, including...
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Fall 2021
Traffic congestion is a severe problem in many cities. One way to reduce it is by optimizing traffic signal timings. Experts spend a lot of time analyzing traffic patterns to produce good handcrafted timing schedules. However, these timing schedules can be less responsive when there is a sudden...
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Spring 2021
Smart grid, typically regarded as the next generation of electrical power grid, can bring numerous benefits for electric utilities and customers with substantial economic and ecological benefits. However, uncertainties caused by the distributed power generation from renewable energy sources,...
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Coordination and Optimization of Power Distribution Systems with Stochastic Distributed Energy Resources using Artificial Intelligence
DownloadSpring 2021
High levels of penetration of distributed photovoltaic generators can cause serious overvoltage issues, especially during periods of high power generation and light loads. It is of vital importance to gain more understanding of the system and to prepare mitigation plans before the number of PV...
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Fall 2021
Pressure swing adsorption (PSA) processes are an industrially mature low energy consumption pathway for gas separations. Due to their performance being linked to the separation media, they provide an additional degree of freedom for process design. They are difficult to accurately model due to...
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Profiling true microbial community of newborn beef calves using low microbial biomass samples
DownloadFall 2023
Amplicon sequencing (16S rRNA gene sequencing) is widely used to profile host-associated microbial communities. Rapid advancements in sequencing and user-friendly bioinformatics platforms have improved the knowledge of microbial community composition. However, profiling samples containing low...