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Skip to Search Results- 76Machine learning
- 24Artificial intelligence
- 13Image processing
- 5Reinforcement learning
- 4Directionality
- 4Game theory
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alexandra Marie Claire Beatty
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
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Development and Applications of Mechanics- and Data-based Capacity Models for Intact/Corroded Prestressed Concrete Bridge Girders
DownloadFall 2022
Prestressed concrete (PC) highway bridges represent an integral part of the transportation network and contribute significantly to socio-economic development. However, highway bridges are susceptible to Deterioration and thus exhibit structural deficiency after years of service, especially in the...
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Development and Validation of an Automated Essay Scoring Framework by Integrating Deep Features of English Language
DownloadFall 2016
Automated scoring methods have become an important topic for the assessments of 21st century skills. Recent development in computational linguistics and natural language processing has given rise to more rational based methods for the extraction and modeling of language features. The language...
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Development of a Novel Electro-thermal Anti-icing System for Fiber-reinforced Polymer Composite Airfoils
DownloadFall 2012
Given the trend towards expanded use of polymeric composites for wind turbine blades and aircrafts wing, icing of polymer composite airfoils is a challenge; this thesis is addressing this issue from a conceptual perspective. For the first time, the concept of embedded thermal elements as an...
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Fall 2012
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
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Fall 2015
This thesis concentrates on the construction of directional tensor product complex tight framelets. It uses a complex tight framelet filter bank in one dimension and the tensor product of the one-dimensional filter bank to obtain high-dimensional filter bank. It has a number of advantages over...
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Fall 2013
It is well known that most information of an image is contained in its edges. Therefore capturing edges in an image is of fundamental importance in image processing. Tensor product real-valued wavelets only capture edges along the horizontal and vertical direc- tions. Hence they are only...
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Effect of Purge Gas Flow Rate and Oxygen Impurity on Heel build-up and Prediction of Heel build-up Using Machine Learning
DownloadFall 2021
Heel buildup, i.e., the accumulation of non-desorbed/non-desorbable adsorbates and their by-products on an adsorbent, during cyclic adsorption/regeneration of volatile organic compounds (VOCs) onto activated carbon decreases its adsorption capacity and lifetime. In this this study, the effect of...
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Energy optimization of a residential building using occupancy prediction via sensor fusion and machine learning algorithms
DownloadFall 2023
Occupancy-based control systems for floor heating can lead to energy saving in a residential building. This study focuses on the energy consumption by space heating system in a half-duplex residential house located in Edmonton, Alberta. In the first part, a sensor fusion model was designed to...
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Spring 2024
Multi-phase jet in crossflow (MJC) garnered significant attention across a range of applications, including artificial aeration in oceans, lakes, and rivers. As of yet, the vast majority of the MJC literature focuses on pure gas or solid injection into crossflow, and limited studies pay attention...
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Spring 2015
Sampling from a given probability distribution is a key problem in many different disciplines. Markov chain Monte Carlo (MCMC) algorithms approach this problem by constructing a random walk governed by a specially constructed transition probability distribution. As the random walk progresses, the...