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Skip to Search Results- 76Machine learning
- 19Learning
- 13Image processing
- 5Artificial intelligence
- 4Directionality
- 4Reinforcement learning
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alexandra Marie Claire Beatty
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
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Spring 2010
This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the form of metabolic pathways. A metabolic pathway describes a set of chemical reactions that...
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Spring 2014
The plethora of research on ESL, L1, L2 and ethnography has left under-reported autoethnographies borrowing mathematics as a tool for thinking. In response to the multiplicity, this dissertation explores personal and academic experiences to expose my own development of an L2 learner, in...
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A framework for offsite construction manufacturing process improvement through digitalization and automated real-time data collection
DownloadFall 2022
This thesis proposes methods to apply real-time data to improve manufacturing operations in offsite construction using a combination of tools such as simulation, machine learning, and exploratory data analysis. These methods are applied to increase flexibility in operations and digitalize the...
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Spring 2010
In this work, we present a unified, general approach to variance reduction in agent evaluation using machine learning to minimize variance. Evaluating an agent's performance in a stochastic setting is necessary for agent development, scientific evaluation, and competitions. Traditionally,...
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A Machine Learning Approach to Predict Production Time in Industrialized Building Construction
DownloadFall 2021
Industrialized building construction is an effective approach for improving the performance and management of construction projects by offering higher quality products, minimized environmental impacts, and improved schedule predictability. The industrialized building construction approach...
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Spring 2023
Choosing an appropriate action representation is an integral part of solving robotic manipulation problems. Published approaches include latent action models, which train context-conditioned neural networks to map lowdimensional latent actions to high-dimensional actuation commands. Such models...
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Advanced Machine Learning Techniques for Analysis of 4D Brain Images in Ischemic Stroke Diagnosis and Assessment
DownloadFall 2023
Acute Ischemic Stroke (AIS), a devastating cerebrovascular disorder, is one of the leading causes of disability and mortality worldwide. It occurs when the blood supply to a part of the brain is interrupted, resulting in the deprivation of oxygen and nutrients, leading to neuronal damage and...
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Fall 2023
Monitoring industrial processes is essential to maintain efficient and safe operation. An alarm system is an imperative component of industrial process monitoring, as it alerts operators to abnormal conditions. Alarms indicate when the process is disrupted, which allows operators to react...