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MU CI plan -- geospatial sciences
(University of Missouri--Columbia, Cyberinfrastructure Council, 2015)
Automated Processing of High Resolution Satellite Imagery for Feature Extraction and Mapping of Urban Areas
(EOM Earth Observation Magazine, 2005-01)
High-resolution satellite imagery became commercially available in late 1999 with the launch of Space Imaging's IKONOS satellite. In subsequent years, several other high-resolution commercial satellites were launched ...
Design and development of geospatial analytical research knowledgebase (GeoARK)
(University of Missouri--Columbia, 2022)
, environmental, and infrastructural knowledge base to empower health researchers' use of geospatial context to timely answer population health issues. Needed is a novel analytical framework designed to leverage location to create new contextual knowledge...
ACMES: fast multiple-genome searches for short repeat sequences with concurrent cross-species information retrieval
(Nucleic Acids Research, 2004)
We have developed a web server for the life sciences community to use to search for short repeats of DNA sequence of length between 3 and 10 000 bases within multiple species. This search employs a unique
and fast hash ...
Assessing border permeability : a geospatial analysis of insurgent mobility
(University of Missouri--Columbia, 2016)
havens among other unstable governments throughout the Near East. Contrary to common public perception, Scheuer (2004) and Brachman (2009) suggest a conscious effort on the part of the Taliban and Al-Qa'ida to face the U.S. in the form of a modern...
Emerging Threats to One Health: Implications to U.S. National Security Program
(2011-04)
The program for the April 12, 2011 colloquium on Emerging Threats to One Health:
Implications to U.S. National Security.
Development of urban area geospatial information products from high resolution satellite imagery using advanced image analysis techniques
(University of Missouri--Columbia, 2004)
. The goal of this doctoral research was to develop advanced automated and semi-automated image analysis and classification techniques for the extraction of urban area geospatial information products from commercial high-resolution satellite imagery. We...
Imaging and visualization at the University of Missouri--Columbia
(University of Missouri--Columbia, Cyberinfrastructure Council, 2016)
The document includes a long-term vision for a Show-Me Center for Imaging and Visualization (see page 7). For consistency, with the other parts of the CI Plan, one and three year objectives are provided. This document is designed to help update...
Automatic extraction of man-made objects from high-resolution satellite imagery by information fusion
(University of Missouri--Columbia, 2005)
) techniques can assist human analysts by rapidly locating geospatial information and have the potential to significantly reduce the amount of time to process and analyze geospatial data. In this research, we have designed and developed systems for automatic...
Explainable parts-based concept modeling and reasoning
(University of Missouri--Columbia, 2023)
State-of-the-art artificial intelligence (AI) learning algorithms heavily rely on deep learning methods that exploit correlation between inputs and outputs. While effective, these methods typically provide little insight to the reasoning process...
Participant biographies
(2011)
This document provides, in alphabetical order, short biographies of the colloquium participants.
Managing innovation : navigating disruptive and transformational technologies
(University of Missouri, 2011)
Major technological changes unleash large-scale social, cultural, economic and political consequences. Digitized computing is the most recent example of disruptive technology; the wheel could be regarded as one of the earliest. MU's collaborative...
Understanding and managing disruptive and transformational technologies
(University of Missouri--Columbia, 2011)
Major technological changes unleash large-scale social, cultural, economic and political consequences. Digitized computing is the most recent example of disruptive technology; the wheel could be regarded as one of the earliest. MU's collaborative...
Enhancing network-edge connectivity and computation security in drone video analytics
(University of Missouri--Columbia, 2020)
S) attacks). In this work, we propose a cloud-based, intelligent security framework viz., "DroneNet-Sec" that provides network-edge connectivity and computation security for drone video analytics to defend against common attack vectors in UAV systems...
Automated building footprint extraction from high resolution LIDAR DEM imagery
(University of Missouri--Columbia, 2005)
Geographic Information Systems (GIS) are used in the fields of urban planning, environmental management, agriculture, transportation, utilities etc. because of their ability to provide geospatial information organized in multiple layers...
Some notes on seed grants
(2010)
As the Mizzou Advantage process has unfolded, we funded a significant number of seed grants. A second request for proposals (RFP) was issued in May for additional seed grants to total as much as $1.5 million dollars. In ...
A celebration of Mizzou Advantage
(University of Missouri, 2010)
The program for the celebration marking the first round of Mizzou Advantage grant awards includes abstracts of the awarded proposals.
Mizzou weekly, volume 27, number 16 (January 19, 2006)
(University of Missouri--Columbia. University Affairs. Publications and Alumni Communication., 2006)
Land valuation using an innovative model combining machine learning and spatial context
(University of Missouri--Columbia, 2023)
that combines machine learning and spatial context. It integrates raster information derived from remote sensing as well as vector information from geospatial analytics to predict land values, in the City of Springfield. These are used to investigate whether a...
Human-assisted self-supervised labeling of large data sets
(University of Missouri--Columbia, 2022)
There is a severe demand for, and shortage of, large accurately labeled datasets to train supervised computational intelligence (CI) algorithms in domains like unmanned aerial systems (UAS) and autonomous vehicles. This has hindered our ability...