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Skip to Search Results- 145Graduate and Postdoctoral Studies (GPS), Faculty of
- 145Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8Physics, Department of
- 8Physics, Department of/Journal Articles (Physics)
- 7Sustainable Forest Management Network
- 7Computing Science, Department of
- 50Department of Civil and Environmental Engineering
- 19Department of Chemical and Materials Engineering
- 18Department of Computing Science
- 17Department of Electrical and Computer Engineering
- 13Department of Mechanical Engineering
- 4Department of Physics
- 5AbouRizk, Simaan (Civil and Environmental Engineering)
- 5Al-Hussein, Mohamed (Civil and Environmental Engineering)
- 3Dinavahi, Venkata (Electrical and Computer Engineering)
- 3Huang, Biao (Chemical and Materials Engineering)
- 3Mohamed, Yasser (Civil and Environmental Engineering)
- 3Nikolaidis, Ioanis (Computing Science)
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Fall 2009
In the refining industry, the cost of a power system interruption is dominated by an associated loss of production. Power distribution within a refinery includes a set of production units within a highly inter-dependent process, where the outage of a single unit affects the production of...
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Spring 2020
Reinforcement learning (RL) has received wide attention in various fields lately. Model-free RL brings data-driven solutions that learn the control strategy directly from interaction with process data without the need for a process model. This is especially beneficial in the case of nonlinear...
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Reservoir and geomechanical coupled simulation of CO2 sequestration and enhanced coalbed methane recovery
DownloadFall 2009
Coalbeds are an extremely complicated porous medium with characteristics of heterogeneity, dual porosity and stress sensitivity. In the past decades great achievements have been made to the simulation models of pressure depletion coalbed methane (CBM) recovery process and CO2 sequestration and...
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Results of optimization parameter experiments
2014-04-01
A set of experiments performed in QUB-Express to compare different optimizer configurations.
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Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization
DownloadFall 2015
Availability of large amounts of industrial process data is allowing researchers to explore new data-based modelling methods. In this thesis, Gaussian process (GP) regression, a relatively new Bayesian approach to non-parametric data based modelling is investigated in detail. One of the primary...
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Spring 2010
I investigated, water, invertebrates and fishes from lakes in Banff National Park and Kananaskis Country, Alberta for selenium (Se), an element known to be toxic to vertebrates. At some depths, Se concentrations in sediment exceeded recognized thresholds for bird and fish reproductive...
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Fall 2011
High efficiency and low NOx emissions make Homogeneous Charge Compression Ignition (HCCI) promising for use in internal combustion engines. Combining HCCI with Spark Ignition (SI) allows for extension of the engine’s operating range. A Physics-based Mode Switch Model (PMSM) of SI-HCCI mode...
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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...