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Intelligence-driven edge computing for visual cloud computing systems
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The explosive growth and diversity of mobile devices such as smart phones and Internet of Thing (IoT) devices has prompted the evolution of network and ...
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 ...
Building environmentally-aware classifiers on streaming data
(University of Missouri--Columbia, 2022)
The three biggest challenges currently faced in machine learning, in our estimation, are the staggering quantity of data we wish to analyze, the incredibly small proportion of these data that are labeled, and the apparent ...
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 ...
3D genome structure reconstruction from chromosomal contact data
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Different cell types of an organism have the same DNA sequence, but they can function differently because their difference in 3D organization allows ...
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 ...
Efficient secure comparison in the dishonest majority model
(University of Missouri--Columbia, 2021)
Secure comparison (SC) is an essential primitive in Secure Multiparty Computation (SMC) and a fundamental building block in Privacy-Preserving Data Analytics (PPDA). Although secure comparison has been studied since the ...
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 ...
Multi-modal and multi-dimensional biomedical image data analysis using deep learning
(University of Missouri--Columbia, 2023)
There is a growing need for the development of computational methods and tools for automated, objective, and quantitative analysis of biomedical signal and image data to facilitate disease and treatment monitoring, early ...
A hierarchical time-indexed database for multi-modal derived sensor data using GPU-accelerated PostgreSQL
(University of Missouri--Columbia, 2023)
With the vast influx of data captured by ubiquitous sensors, such as those in wearable devices, smart sensors in long-term care facilities, and hydraulic bed sen- sors, there exists an enormous potential for exploiting ...
Towards automated and explorative characterization of nano-energetic material response to directed energy
(University of Missouri--Columbia, 2023)
Nanoenergetic materials offer high-density energy storage that may react to produce heat and release gaseous products. In order to utilize aluminum-based nanoenergetic materials effectively, the mechanisms by which aluminum ...
Real-time voice activity analysis for autism social interaction assessment through smart watches
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 12/1/2024] Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by varying degrees of difficulties in social interactions, communication, and repetitive behaviors. The ...
Web services for image analytics to enable feedback control of remote instrumentation in CNT growth
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 12/1/2024] Remote instrumentation of scientific instruments e.g., scanning electron microscopes today involves inefficient, manual methods for remote instrument control and handling of large image data ...
IICON : identifying informative comments in online news
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 12/1/2024] Many news outlets are discontinuing their comment sections due to moderation challenges as manual moderation for identifying irrelevant and informative comments is inadequate, costly, and ...
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 ...
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 ...
Semi-automatic exploratory data analytics for actionable discoveries through subgroup mining
(University of Missouri--Columbia, 2017)
People are born with the curiosity to see differences between groups. These differences are useful for understanding the root causes of certain discrepancies, such as populations and diseases. However, without prior knowledge ...
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 ...