Browsing OSU Dissertations by Subject "deep learning"
Now showing items 1-8 of 8
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Deep Autoencoders for Cross-Modal Retrieval
(2019-05-01)Increased accuracy and affordability of depth sensors such as Kinect has created a great depth-data source for 3D processing. Specifically, 3D model retrieval is attracting attention in the field of computer vision and ... -
Development of in-field data acquisition systems and machine learning-based data processing and analysis approaches for turfgrass quality rating and peanut flower detection
(2022-07)Digital image processing and machine vision techniques provide scientists with an objective measure of crop quality that adds to the validity of study results without burdening the evaluation process. This dissertation ... -
Holistic indoor scene understanding by context supported instance segmentation
(2020-12)Intelligent robots require advanced vision capabilities to perceive and interact with the real physical world. While computer vision has made great strides in recent years, its predominant paradigm still focuses on building ... -
Interpreting natural language processing (NLP) models and lifting their limitations
(2021-07)There have been many advances in the artificial intelligence field due to the emergence of deep learning and big data. In almost all sub-fields, artificial neural networks have reached or exceeded human-level performance. ... -
Physics-guided machine learning for turbulence closure and reduced-order modeling
(2022-07)A recent advance in scientific machine learning has started to show promising results in fluid mechanics. Despite their early success, the application of data-driven methods to turbulent flow simulation is non-trivial due ... -
Using machine learning methods to improve healthcare delivery in diabetes management
(2022-07)This dissertation includes three studies, all focusing on Analytics and Patients information for improving diabetes management, namely educating patients and early detection of comorbidities. In these studies, we develop ... -
Visualization and intelligent solutions for big pavement data
(2018-07)Pavement visualization and crack detection are two important components supporting modern pavement condition survey. In this dissertation, two major goals are accomplished based on implementable algorithms. 1) The long-distance ... -
Website Fingerprinting Attacks
(2019-05-01)Most privacy-conscious users utilize HTTPS and an anonymity network such as Tor to mask source and destination IP addresses. It has been shown that encrypted and anonymized network traffic traces can still leak information ...