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Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)
receiver operating characteristic curves than the raw images. Compared to Otsu's thresholding, multi-scale root enhancement and thresholding have reduced the average false positive rate from 0.344 to 0.042, and improved the average F1 score from 0.4 to 0...
Selected techniques for vehicle tracking and assessment in wide area motion imagery
(University of Missouri--Columbia, 2010)
Tracking of vehicles in wide area motion imagery (WAMI) is very important for civilian and military surveillance. Tracking in a dataset that is characterized by very large format video with an extremely wide field-of-view ...
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
There is a popular saying, "Stress kills." This statement can be true with repeated exposures to psychological mood dysregulation, which can lead to or worsen stress related conditions such as heart disease and cancer. ...
Out-of-core image techniques with extensions for WAMI
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Out-of-core image techniques provide for interactive visualization, analysis, and processing of extremely large images exceeding primary memory. This ...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. ...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. Although science gateways (SG) have democratized relevant high ...
Estimation of dynamic detector confidence thresholds in SAS imagery using mixture models
(University of Missouri--Columbia, 2019)
As machine learning has matured over the years, more and more safety critical tasks have been entrusted to computers. Automated target recognition (ATR), the problem of identifying explosive hazards on the sea?oor, is one ...
Image matching and image super-resolution via deep learning
(University of Missouri--Columbia, 2018)
The advancement of 3D depth sensors, such as LIDAR (Light Detection And Ranging) scanners, has provided an effective alternative to traditional CAD-based and image-based approaches for 3D modeling. The output of the 3D ...
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)
In the present day, we are faced with a deluge of disparate and dynamic information from multiple heterogeneous sources. Among these are the big data imagery datasets that are rapidly being generated via mature acquisition ...
Intelligent user interfaces for internet-of-things based web applications
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] There is a growing need for Intelligent User Interfaces to visually make sense of the enormous data that is being created within web applications that ...
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)
Sixteen years after the sequencing of the human genome, the Human Genome Project (HGP), and 17 years after the introduction of Chromosome Conformation Capture (3C) technologies, three-dimensional (3-D) inference and big ...
Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges
(University of Missouri--Columbia, 2019)
In the event of natural or man-made disasters, geospatial video analytics is valuable to provide situational awareness that can be extremely helpful for first responders. However, geospatial video analytics demands massive ...