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Skip to Search Results- 3Aaron Luchko
- 3Cumming, Steve
- 2Armstrong, Glen
- 2Fayek, Aminah Robinson
- 2Kale, V.
- 2Kedir, Nebiyu Siraj
- 79Graduate and Postdoctoral Studies (GPS), Faculty of
- 79Graduate 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)
- 79Thesis
- 6Article (Published)
- 4Article (Draft / Submitted)
- 3Report
- 2Dataset
- 1Conference/Workshop Poster
- 21Department of Civil and Environmental Engineering
- 15Department of Computing Science
- 13Department 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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Developing Hybrid Artificial Intelligence Model for Construction Labour Productivity Prediction and Optimization
DownloadFall 2021
Construction labour productivity (CLP) is considered one of the most important parameters affecting the performance of construction projects. Therefore, modeling CLP is a crucial step in construction projects. Accurate prediction of CLP helps in effective planning, cost estimating, and...
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Spring 2014
Oil sand reservoirs play an important role in the economy of Canada due to their significant recoverable reserves. Due to the high viscosity of the oil in these reservoirs, conventional methods cannot be used for production. The steam-assisted gravity drainage (SAGD) method is an efficient way of...
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Development and evaluation of adaptive transit signal priority control with updated transit delay model
Download2019-11-12
Han, X., Li, P., Sikder, R., Qiu, Z., Kim, A.
Transit signal priority (TSP) strategies are widely used to reduce bus travel delay and to increase bus service reliability. State-of-the-art strategies enable dynamic (and optimal), rather than predetermined, TSP plans to reflect real-time traffic conditions. These dynamic plans are called...
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Fall 2014
In distributed sensing systems, measurements from a random process or parameter are usually not available in one place. Also, the processing resources are distributed over the network. This distributed characteristic of such sensing systems demands for special attention when an estimation or...
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Fall 2024
This thesis studies a virtual power plant (VPP) that trades the bidirectional charging flexibility of privately owned plug-in electric vehicles (EVs) in a real-time electricity market to maximize its profit. The main contribution of this thesis is the development of scalable and efficient...
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Spring 2011
This research investigates and proposes methods to be used for the automation of the conceptual design phases of variational mechanisms. It employs the concept of feature-based modeling approaches. A method is proposed for integrating the dimensional synthesis, mechanical design and CAD...
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Fittings of simulated and live ion channel recordings
2014-04-01
Results of bulk fittings of 5 simulated and 4 live ion channel recordings performed in QUB Express with the multiple optimization plugin.
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Fall 2011
Recently, Wireless Sensor Networks (WSNs) have been used in many monitoring applications, e.g., environment monitoring. A WSN consists of a set of nodes, each having one or more sensors to measure a phenomena. Nodes are connected to each other using wireless radio communications. Typically, there...
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Hybridization of Reinforcement Learning and Agent-Based Modeling to Optimize Construction Planning and Scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
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Hybridization of reinforcement learning and agent-based modeling to optimize construction planning and scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong H.D.
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...