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Unpaved road detection using optimized log Gabor filter banks
(University of Missouri--Columbia, 2021)
The revised unpaved road detection system (RURD) is a novel method for detecting unpaved roads in an arid environment from color imagery collected by a forward-looking camera mounted on a moving platform. The objective is ...
Linguistic summarization of human activity
(University of Missouri--Columbia, 2010)
The thesis advanced herein is that linguistic summarization is essential for the reliable succinct modeling and inference of human activity. It is also asserted that the inherent and unavoidable uncertainty is linguistic ...
Sleep stage classification using hydraulic bed sensor
(University of Missouri--Columbia, 2018)
Center (BHC) in Columbia, Missouri. And we were allowed to install our hydraulic bed sensors to their study protocol for consenting patients. The heart rate variability (HRV) features, respiratory rate (RV) features, and linear frequency cepstral...
Advances in transfer learning methods based on computational intelligence
(University of Missouri--Columbia, 2020)
Traditional machine learning and data mining have made tremendous progress in many knowledge-based areas, such as clustering, classification, and regression. However, the primary assumption in all of these areas is that ...
Target detection with morphological shared-weight neural network : different update approaches
(University of Missouri--Columbia, 2018)
Neural networks are widely used for image processing. Of these, the convolutional neural network (CNN) is one of the most popular. However, the CNN needs a large amount of training data to improve its accuracy. If training ...
Multicriteria pathfinding in uncertain simulated environments
(University of Missouri--Columbia, 2018)
Multicriteria decision-making problems arise in all aspects of daily life and form the basis upon which high-level models of thought and behavior are built. These problems present various alternatives to a decision-maker, ...
Early detection of health changes in the elderly using in-home multi-sensor data streams
(University of Missouri--Columbia, 2022)
The rapid aging of the population worldwide requires increased attention from health care providers and the entire society. For the elderly to live independently, many health issues related to old age, such as frailty and ...
Clustering in relational data and ontologies
(University of Missouri--Columbia, 2010)
This dissertation studies the problem of clustering objects represented by relational data. This is a pertinent problem as many real-world data sets can only be represented by relational data for which object-based clustering ...