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- 5Machine Learning
- 2Reinforcement Learning
- 1 N-type Silicon
- 1 Stress Sensor
- 13D Stress Measurement
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Development of MEMS-based Piezoresistive Three Dimensional Stress/Strain Sensor with Temperature Compensation
DownloadSpring 2020
In this research, a developed n-type piezoresistive three dimensional (3D) stress sensor with full temperature compensation is presented. The proposed sensing rosette benefits from the stress insensitivity of the full-circular n-type piezoresistor, oriented over (111) silicon plane, to detect...
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Spring 2019
In this thesis we introduce a new loss for regression, the Histogram Loss. There is some evidence that, in the problem of sequential decision making, estimating the full distribution of return offers a considerable gain in performance, even though only the mean of that distribution is used in...
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Fall 2021
Convolutional Neural Networks (CNNs) have been recently seeing great success in various image classification fields and applications. However, this success has been accompanied by a significant increase in memory and computational demands, limiting their use in resource-limited devices, e.g.,...
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Spring 2020
Mineral resource estimation is an integral part of making informed decisions while evaluating the feasibility of a mining operation. Geostatistical tools estimate geological and spatial features with the assumptions of first and second‑order stationarity. In the modelling process,...
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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...