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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...
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 ...
3D city scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2018)
3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a ...
Significance linked connected component analysis plus
(University of Missouri--Columbia, 2018)
An image coding algorithm, SLCCA Plus, is introduced in this dissertation. SLCCA Plus is a wavelet-based subband coding method. In wavelet-based subband coding, the input images will go through a wavelet transform and be ...
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 ...