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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...
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...
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...
Participant biographies
(2011)
This document provides, in alphabetical order, short biographies of the colloquium participants.
Development of Aerial-Ground Sensing Network: Architecture, Sensor Activation, and Spatial Path-Energy Optimization
(University of Missouri -- Kansas City, 2019)
The advent of autonomous navigation, positioning, and in general robotics
technologies has enabled the maturity of small to miniature-sized unmanned aerial
vehicles (UAVs; or colloquially called drones) and their wide ...
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...
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...
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...
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...
Roll-out of the "Mizzou Advantage"
(University of Missouri, 2009)
Approximately three years ago, MU began an exercise to define "strategic advantages" that could place the University within higher education in an extremely strong, competitive position. The idea was to identify MU's competitive advantages...
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 imagery/video data...
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring
(IEEE, 2008-11)
In this work, we study how continuous video monitoring and intelligent video processing can be used in eldercare to assist the independent living of elders and to improve the
efficiency of eldercare practice. More ...
The illicit methamphetamine landscape of Franklin County, Missouri: application and analysis of a GIS-based risk assessment model
(University of Missouri--Columbia, 2006)
. This study reviews documented methamphetamine production risk factors and examines a spatial model based on the reviewed risk factors. The risk factors include populations that are rural, white, impoverished, undereducated, unmarried and aged 25 - 29...
Knowledge-driven multidimensional indexing for content-based information retrieval
(University of Missouri--Columbia, 2008)
dynamic inserts, deletes, and updates of the EBS and EBB. These indexes have been empirically proven efficient and accurate in biomedical and geospatial domains. The EBS and EBB can be applied to various additional CBR domains, and extended to exploit...
What is Mizzou Advantage?
(University of Missouri--Columbia, 2011)
This booklet provides detailed information about the Mizzou Advantage and the projects awarded grants in rounds 1 and 2 of the program.
Assessing the quality and distribution of news in local television and newspaper markets using data science methods
(University of Missouri--Columbia, 2023)
. In this study, I investigated whether local television stations in Missouri tended to cover the news with the same quantity and quality as local newspapers in the same coverage area. Through geospatial analysis, natural language processing (NLP) techniques...
Land cover classification from satellite imagery, and its applications in cellular network planning
(University of Missouri--Columbia, 2005)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] To further increase the classification accuracies, radar image processing techniques were investigated to preprocess the Radarsat data before classification. ...