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Body-worn accelerometer-based health assessment algorithms for independent living older adults
(University of Missouri--Columbia, 2020)
The mainstream smart wearable products used for activity trackers have experienced significant growth recently. Among the older population, collecting long periods of activity data in a real-life setting is challenging ...
Application of deep convolutional neural networks to automatic feature/object detection in high resolution remote sensing imagery
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This thesis investigates how deep learning can be used to automatically detect features and/or objects of interest in high resolution satellite imagery. ...
Use of Jacobians for inverse kinematics of articulated robots : a study on approximate solutions
(University of Missouri--Columbia, 2020)
be practically or even theoretically impossible to be solved analytically. Therefore, in the past decades, several approximate methods have been developed for many instances of IK problems. The approximate methods can be divided into two distinct categories: data...
Detecting explosive hazards in 3D radar imaging through slice based feature extraction and sequential learning
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis provides the history and framework of detecting explosive hazards from three-dimensional radar by extracting features through a slice-based ...
Fractal Analysis of Seafloor Textures for Target Detection in Synthetic Aperture Sonar Imagery
(University of Missouri--Columbia, 2018)
Fractal analysis of an image is a mathematical approach to generate surface related features from an image or image tile that can be applied to image segmentation and to object recognition. In undersea target countermeasures, ...