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Spring 2018
River ice processes are among the most important subjects of study for hydrotechnical engineers in cold regions. This is because extremes of both minimum flow (impacting fish habitat and the concentration and transport of pollutants) and maximum water levels (impacting channel geomorphology and...
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2007
I. 'Void' structure in the wake of a self-oscillating flexible cylinder -- II. Design of a backward-facing step control device.
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Fall 2020
The subject of interest for this thesis is the detachment of a turbulent boundary layer. Engineers are interested in techniques that delay or suppress flow separation entirely because the performance of many fluidic devices, such as airfoil and diffuser, are hindered by this flow phenomenon. The...
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Fall 2021
Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...
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Fall 2018
This thesis seeks to contribute to the ongoing research on opinion mining. The contributions are related to the development of newly conceived models for discovery of the viewpoints, and the reasons supporting them, from various polarized contentious texts found in surveys' responses, debate...
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Spring 2024
Syntactic text simplification, the task of reducing the grammatical complexity of text while preserving the content, can be useful for non-native speakers, text summarization, and other downstream natural language processing tasks. Many traditional methods are rule-based and do not generalize,...
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Fall 2022
Sentence reconstruction and generation are essential applications in Natural Language Processing (NLP). Early studies were based on classic methods such as production rules and statistical models. Recently, the prevailing models typically use deep neural networks. In this study, we utilize deep...