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Now showing items 1-17 of 17
Human behavior understanding and intention prediction
(University of Missouri--Columbia, 2020)
Human motion, behaviors, and intention are governed by human perception, reasoning, common-sense rules, social conventions, and interactions with others and the surrounding environment. Humans can effectively predict ...
Explainable pattern modelling and summarization in sensor equipped smart homes of elderly
(University of Missouri--Columbia, 2020)
In the next several decades, the proportion of the elderly population is expected to increase significantly. This has led to various efforts to help live them independently for longer periods of time. Smart homes equipped ...
Explainable data fusion
(University of Missouri--Columbia, 2021)
The recent resurgence of Artificial Intelligence (AI), specifically in the context of applications like healthcare, security and defense, IoT, and other areas that have a big impact on human life, has led to a demand for ...
Deep learning based solutions to biomedical image analysis problems of the upper aerodigestive tract
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Clinical and scientific studies produce an abundance of image and video data. Clinical practice often relies on subjective, qualitative ...
Personalized functional health and fall risk prediction using electronic health records and in-home sensor data
(University of Missouri--Columbia, 2021)
Research has shown the importance of Electronic Health Records (EHR) and in-home sensor data for continuous health tracking and health risk predictions. With the increased computational capabilities and advances in machine ...
Breast cancer imaging and detection using microwave technique
(University of Missouri--Columbia, 2020)
Separation Distance (TRASD), which allows for the reduction of the late time clutter effect and improvement of the Signal to Clutter Ratio (SCR) when using the PI-ESPRIT algorithm. Using CST simulation tool, antennas arrayed around the breast are designed...
Deep learning with very few and no labels
(University of Missouri--Columbia, 2021)
Deep neural networks have achieved remarkable performance in many computer vision applications such as image classification, object detection, instance segmentation, image retrieval, and person re-identification. However, ...
Efficient closed-form estimators in multistatic target localization and motion analysis
(University of Missouri--Columbia, 2021)
Object localization is fast becoming an important research topic because of its wide applications. Often of the time, object localization is accomplished in two steps. The first step exploits the characteristics of the ...
Sub-optimal and robust downlink beamforming in wireless networks with imperfect channel state information
(University of Missouri--Columbia, 2021)
The rapid growth in internet applications such as video streaming enforce the researcher to explore a new wireless technique to ensure high signal to interference noise ratio (SINR) at the end users, leading to high quality ...
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 ...
Temporal decision making using unsupervised learning
(University of Missouri--Columbia, 2021)
space. Another example of streaming is the data acivity data coming from TigerPlace and other elderly residents' apartments in and around Columbia. MO. TigerPlace is an eldercare facility that promotes aging-in-place in Columbia Missouri. Eldercare...
Curvilinear segmentation and classification of blood vessels using random forest and deep learning
(University of Missouri--Columbia, 2020)
Curvilinear structures occur in many biomedical imagery, and reliable segmentation and classification is crucial for automatic image analysis. In this dissertation, we consider optimized filter bank (OFB) features with ...
RF sensing and processing methods for noninvasive health monitoring
(University of Missouri--Columbia, 2021)
Vulnerable populations include groups of people with a higher risk of poor health as a result of the limitations due to illness or disability. The health issues of vulnerable populations include three categories: physical, ...
Ballistocardiography : physically-based modeling to bridge physiology and technology
(University of Missouri--Columbia, 2020)
The ballistocardiogram (BCG) captures the motion of the center of mass (CoM) of the human body resulting from the blood motion within the circulatory system. The BCG signal reflects the status of the cardiovascular system ...
Moving object localization using frequency measurements
(University of Missouri--Columbia, 2021)
This research investigates the ability of locating a moving object using the Doppler shifts of a carrier frequency signal sent or re ected by the object and observed by several fixed or moving sensors spatially distributed ...
Advances in automated surgery skills evaluation
(University of Missouri--Columbia, 2021)
Training a surgeon to be skilled and competent to perform a given surgical procedure, is an important step in providing a high quality of care and reducing the risk of complications. Traditional surgical training is carried ...
Biophysical modeling to reverse engineer two mammalian neural circuits lower urinar Y tract and hippocampus
(University of Missouri--Columbia, 2020)
Computational neuroscience provides tools to abstract and generalize principles of neuronal function using mathematics and computers. This dissertation reports biophysical modeling approaches to facilitate reverse engineering ...