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ETL automation and mixed reality live data visualization in an IoT system for smart buildings
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 8/1/2024] Data extraction and processing is an integral part of a complex IoT system. The data visualization interprets huge quantities of data into a graphical 2D and 3D visualization to make it easy to ...
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
varying and sporadic mood data. As a result, each model will predict whether changes in the physiological data represent mood dysregulation for each subject in the study. All models were trained using two weeks of physiological and self-initiated mood data...
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 ...
A hierarchical time-indexed database for multi-modal derived sensor data using GPU-accelerated PostgreSQL
(University of Missouri--Columbia, 2023)
real-time signal processing like healthcare, artificial intelligence, machine learning, and scientific research. In this context, this thesis aims to address the challenges associated with the immense volume of sensor data by proposing an efficient...
Intelligent orchestration of computation and networking for drone swarm applications
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Drone swarms that are equipped with high-resolution sensors and video cameras can benefit many applications (e.g., disaster response management, smart farming, traffic control). This requires ...