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Skip to Search Results- 16Neural Networks
- 8Machine Learning
- 2Reinforcement Learning
- 1 N-type Silicon
- 1 Stress Sensor
- 13D Stress Measurement
- 1Al Dallal, Ahmed
- 1Alateeq, Majed Mohammad
- 1Awwal, Alvina
- 1Cooper, Lance E
- 1Das, Debarpan
- 1Dupuis, Brian A
- 6Department of Computing Science
- 3Department of Electrical and Computer Engineering
- 2Department of Civil and Environmental Engineering
- 1Department of Mathematical and Statistical Sciences
- 1Department of Mechanical Engineering
- 1Department of Oncology
- 3White, Martha (Computing Science)
- 1Boulanger, Pierre (Computing Science)
- 1Deutsch, Clayton (Mining Engineering)
- 1Dick, Scott (Department of Electrical and Computer Engineering)
- 1Dr. Simaan AbouRizk - Civil and Environmental
- 1Emery, Derek (Medical Sciences - Radiology and Diagnostic Imaging)
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Fall 2021
Climate change concerns have raised awareness about the importance of decarbonizing the power sector. In achieving such a goal, energy storage is a critical operation that is currently done using mostly fossil fuels as chemical energy storage. The only viable alternative is battery energy storage...
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Fall 2021
Structural credit assignment in neural networks is a long-standing problem, with a variety of alternatives to backpropagation proposed to allow for local training of nodes. One of the early strategies was to treat each node as an agent and use a reinforcement learning method called REINFORCE to...
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Fall 2012
This work stands as an example of “synthetic methodology” in psychological research. Synthetic methodology involves building a model, seeing what it can and cannot do when placed in interesting environments, comparing this behaviour to real-world subjects for parallels and discrepancies, and then...
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Fall 2019
Dialogue systems, also known as Conversational Agent (CA), are designed to mimic coherent conversations with humans. Most conversational agents are specialized for a specific domain such as travel booking and are typically finite state-based or template-based. Open domain dialogue systems have...
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Spring 2021
This thesis evaluated Convoultional LSTM (ConvLSTM) for frame prediction to help better understand motion in neural networks. Three different neural networks were implemented and trained. The three networks included, the original ConvLSTM paper by Shi et al. [35], the Spatio-Temporal network by...
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What Makes a Project Safe? Identifying the Impacts Factors Have on the Safety Performance of a Construction Site through Use of Artificial Neural Networks
DownloadSpring 2015
What makes a construction project safe? This question prompted this research project. The goal was to identify factors and quantify their impact on the safety performance of construction projects. The first step in achieving this goal was to research key performance indicators in the area of...