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Conversation understanding and realistic artificial crash data generation with deep learning
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] This dissertation focuses on conversation understanding and realistic crash data generation with deep learning. Conversation understanding includes conversational outcome, formality, and politeness ...
Deep learning-based solutions for electron microscopy image analysis
(University of Missouri--Columbia, 2023)
Electron microscopy (EM) enables capturing high resolution images of very small structures in biological and non-biological specimens such as membrane proteins, viruses, subcellular structures, nanoparticles, or material ...
Deep heterogeneous superpixel neural networks for image analysis and feature extraction
(University of Missouri--Columbia, 2021)
Lately, deep convolutional neural networks are rapidly transforming and enhancing computer vision accuracy and performance, and pursuing higher-level and interpretable object recognition. Superpixel-based methodologies ...
Protein tertiary structure prediction and refinement using deep learning
(University of Missouri--Columbia, 2022)
Building the high-quality structure of a protein from its amino acid sequence has important applications in protein engineering and drug design. The problem of accurate protein three-dimensional structure prediction from ...