Browsing by Thesis Department "Computer Science"
Now showing items 1-12 of 12
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Adversarial robustness of deep learning enabled industry 4.0 prognostics
(University of Missouri--Columbia, 2020)The advent of Industry 4.0 in automation and data exchange leads us toward a constant evolution in smart manufacturing environments, including extensive utilization of Internet-of-Things (IoT) and Deep Learning (DL). ... -
Analysis of audio data to measure social interaction in the treatment of autism spectrum disorder using speaker diarization and identification
(University of Missouri--Columbia, 2021)Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects communication and behavior in social environments. Some common characteristics of a person with ASD include difficulty with communication or ... -
Consortium blockchain management with a peer reputation system for critical information sharing
(University of Missouri--Columbia, 2020)Blockchain technology based applications are emerging to establish distributed trust amongst organizations who want to share critical information for mutual benefit amongst their peers. There is a growing need for consortium ... -
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 ... -
Deep learning architectures for 2D and 3D scene perception
(University of Missouri--Columbia, 2021)Scene understanding is a fundamental problem in computer vision tasks, that is being more intensively explored in recent years with the development of deep learning. In this dissertation, we proposed deep learning structures ... -
Defeat data poisoning attacks on facial recognition applications
(University of Missouri--Columbia, 2021)In the modern era, facial photos are used for a wide array of applications, from logging into a smartphone to bragging about a weekend getaway. With the vast amount of use cases for facial images, adversaries will attack ... -
Enhancing privacy and security within social networks
(University of Missouri--Columbia, 2021)The introduction of online social networking has allowed people across the world to share information with each other. It has risen to be one of the most popular forms of internet usage where almost everyone has created ... -
Explainable contextual data driven fusion
(University of Missouri--Columbia, 2021)Numerous applications require the intelligent combining of disparate sensor data streams to create a more complete and enhanced observation in support of underlying tasks like classification, regression, or decision making. ... -
An interpretable protein localization prediction framework
(University of Missouri--Columbia, 2021)Protein localization is related to many human diseases. Therefore, the prediction of protein localization is an essential task that has been extensively studied. Additionally, the study of the localization mechanism can ... -
Knowledge discovery with recommenders for big data management in science and engineering communities
(University of Missouri--Columbia, 2020)Recent science and engineering research tasks are increasingly becoming dataintensive and use workflows to automate integration and analysis of voluminous data to test hypotheses. Particularly, bold scientific advances in ... -
Modeling of the acoustic signal of an electric guitar amplifier using recurrent neural networks
(University of Missouri--Columbia, 2021)Neural networks have topped performance measures across a wide variety of computational tasks. These performances are prevalent within the domain of human perception type tasks such as classification or generation of images, ... -
User experience and robustness in social virtual reality applications
(University of Missouri--Columbia, 2020)Cloud-based applications that rely on emerging technologies such as social virtual reality are increasingly being deployed at high-scale in e.g., remote-learning, public safety, and healthcare. These applications increasingly ...