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- 13Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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A Comprehensive Study of Conditional Generative Adversarial Networks for Noise Reduction in Optical Coherence Tomography
DownloadFall 2024
Optical coherence tomography (OCT) has been widely adopted as an imaging modality for various clinical applications, such as breast cancer screening, retinal imaging, and vascular assessment, due to its non-invasive nature. However, OCT is affected by coherent speckle noise, which impairs OCT...
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A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions
Download2023-11-01
Rezasefat, Mohammad, Hogan, James D.
This study presents a data-driven finite element-machine learning surrogate model for predicting the end-to-end full-field stress distribution and stress concentration around an arbitrary-shaped inclusion. This is important because the model’s capacity to handle large datasets, consider...
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A Framework for Synthesis of Musical Training Examples for Polyphonic Instrument Recognition
DownloadFall 2018
Music information retrieval (MIR), an interdisciplinary field involving the classifying or detection of structure in music, is essential for processing, indexing, querying and making recommendations from the vast amount of musical data available on the web and in audio library collections. Deep...
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Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems
DownloadFall 2020
This thesis considers some aspects of generative models including my contributions in deep probabilistic generative architectures and linear dynamical systems. First, some advances in deep probabilistic generative models are contributed. Flow-based generative modelling is an emerging and highly...
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Fall 2024
Hip displacement is a prevalent disorder in children with cerebral palsy, defined as the lateral displacement of the femur head from under the acetabulum, and leads to severe pain and difficulties in daily activities. As a result, hip surveillance programs have been developed to monitor and...
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Deep learning based models for software effort estimation using story points in agile environments
Download2021-09-01
In the era of agile software development methodologies, traditional planning and software effort estimation methods are replaced to meet customer’s satisfaction in agile environments. However, software effort estimation remains a challenge. Although teams have achieved better accuracy in...
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Deep Learning-Based Multi-Class Semantic Segmentation and Natural Language Scene Description of Multilane Rural Highways Using LiDAR Data
DownloadFall 2024
The increasing adoption of light detection and ranging (LiDAR) technology offers a promising avenue for automating the identification of road features. However, due to the complexity and density of the point cloud, most research focuses on extracting single or binary road elements from the LiDAR...
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Development of deep learning-based methods for rotating machinery fault diagnosis under varying speed conditions
DownloadSpring 2023
Rotating machines are widely used in industrial applications, such as driving motors in elevators and gearboxes in wind turbines. Machines in these applications often operate under varying speed conditions due to variable operation demand, ever-changing environment conditions and so on. As time...
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Fall 2024
Deep learning (DL) has become a leading subset of machine learning (ML) and has been successfully employed in diverse areas, ranging from natural language processing to medical image analysis. In medical imaging, researchers have progressively turned towards multi-center neuroimaging studies to...
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Fall 2019
Emergent communication is a framework for machine language acquisition that has recently been utilized to train deep neural networks to develop shared languages from scratch and use these languages to communicate and cooperate. Previous work on emergent communication has utilized gradient-based...