Search
Now showing items 1-20 of 38
Data mining student activity patterns in an interactive activity-based STEM learning environment
(University of Missouri--Columbia, 2020)
Jupyter Notebook is gaining in popularity for STEM instruction and activity-based learning. This platform for sharing interactive documents via a web interface allows instructors to combine a variety of media together with ...
Dynamic spatio-temporal graph neural networks for hot topic prediction in scientific literature
(University of Missouri--Columbia, 2020)
With information explosion occurring in past decades, the rapid growth of papers published results in the rapid change of hot topics, especially in the biomedical domain. It turns out very hard for researchers who are ...
Securing cloud-hosted applications using active defense with rule-based adaptations
(University of Missouri--Columbia, 2021)
Security cloud-based applications is a dynamic problem since modern attacks are always evolving in their sophistication and disruption impact. Active defense is a state-of-the-art paradigm where proactive or reactive ...
ClaimChain: secure Blockchain platform for handling insurance claims processing
(University of Missouri--Columbia, 2021)
Insurance claims processing involves multi-domain entities and multi-source data, along with a number of human-agent interactions. Consequently, this processing is traditionally manually-intensive and time-consuming. ...
Accurate, fast, and robust 3D city-scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2021)
Multi-view stereopsis (MVS) is a core problem in computer vision, which takes a set of scene views together with known camera poses, then produces a geometric representation of the underlying 3D model Using 3D reconstruction ...
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 ...
Information fusion for robust detection of scarce features/objects in high resolution electro-optical satellite imagery
(University of Missouri--Columbia, 2021)
We conducted research to develop and test methods to improve the detection of scarce objects in high-resolution electro-optical satellite imagery. We demonstrated improvements through various forms of information and data ...
Computer vision for plant and animal inventory
(University of Missouri--Columbia, 2021)
The population, composition, and spatial distribution of the plants and animals in certain regions are always important data for natural resource management, conservation and farming. The traditional ways to acquire such ...
"Bring-your-own" plug-in management for next-generation science gateway applications
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] Science gateways are web-portals that hide background complexities of underlying resources and expose easy-to-use capabilities of scientific ...
Dashboard design and usability study for geospatially enabled information seeking to assist pandemic response and resilience
(University of Missouri--Columbia, 2021)
Counties in Missouri are primarily rural. Rural communities often consist of individuals with poor health, lower economic status, and lack of public health infrastructure. During the COVID- 19 pandemic, most research was ...
Application of deep reinforcement learning for battery design
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The conventional material research and development are mainly driven by human intuition, labor, and manual decision. It is ineffective and inefficient. ...
Enhancing network-edge connectivity and computation security in drone video analytics
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Unmanned Aerial Vehicle (UAV) systems with high-resolution video cameras are used for many operations such as aerial imaging, search and ...
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. ...
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 ...
Computational protein structure prediction using deep learning
(University of Missouri--Columbia, 2020)
Protein structure prediction is of great importance in bioinformatics and computational biology. Over the past 30 years, many machine learning methods have been developed for this problem in homology-based and ab-initio ...
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 ...
Volumetric medical image segmentation with deep learning pipelines
(University of Missouri--Columbia, 2020)
Automated semantic segmentation in the domain of medical imaging can enable a faster, more reliable, and more affordable clinical workflow. Fully convolutional networks (FCNs) have been heavily used in this area due to the ...
A flexible speech feature converter based on an enhanced architecture of U-net
(University of Missouri--Columbia, 2020)
In order to analyze speech or audio, many methods are applied to transform the time domain signals into various features such as the mel spectral features and WORLD vocoder features. These two types of features can both ...
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). ...
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 ...