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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 ...
Modeling of gallium nitride transistors for high power and high temperature applications
(University of Missouri--Columbia, 2020)
Wide bandgap (WBG) semiconductors such as GaN and SiC are emerging as promising alternatives to Si for new generation of high efficiency power devices. GaN has attracted a lot of attention recently because of its superior ...
Bayesian approach for the spectrum sensing mimo-cognitive radio network with presence of the uncertainty
(University of Missouri--Columbia, 2021)
A cognitive radio technique has the ability to learn. This system not only can observe the surrounding environment, adapt to environmental conditions, but also efficiently use the radio spectrum. This technique allows the ...
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 ...
Synthesis and characterization of TiO2 nanotube Schottky diodes
(University of Missouri--Columbia, 2021)
Metal-semiconductor interfaces on one-dimensional (1D) nanostructures represent crucial building blocks for next-generation nanoelectronics. Over the past two decades, chemically synthesized titanium dioxide nanotubes ...
Advances nanodielectric material characterization and scaling for further size reduction in compact ultra-high voltage capacitor prototypes
(University of Missouri--Columbia, 2021)
The University of Missouri's Center for Physical and Power Electronics (CPPE) have been working on developing compact, high voltage capacitors intended for pulsed power and directed energy applications. The scope of the ...
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 ...
Fast and robust deep neural networks design
(University of Missouri--Columbia, 2020)
In the past few years, we have witnessed a rapid development of deep neural networks in computer vision, from basic image classiffcation tasks to some more advanced applications e.g. object detection and semantic segmentation. ...
Accurate and robust animal species classification in the wild
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Wildlife monitoring with camera-traps allows us to collect data at large scales in space and time to study the impact of climate changes, ...
Investigation of nanoenergetic combustion study of aluminum nanoparticles systems on plasmonic grating platform
(University of Missouri--Columbia, 2022)
With renewed interest in energetic materials like aluminum, many fundamental issues concerning the ignition and combustion characteristics at nanoscales remain to be clarified. Aluminum nanoparticles (Al NP) are widely ...
Spatio-temporal acquisition, reconstruction, and visualization of dynamic scenes for plant phenotyping
(University of Missouri--Columbia, 2020)
Recent advances in robotic vision are permitting breakthrough solutions to various agriculture-related problems, including farming, field phenotyping, food security, etc. Among these technological advancements, autonomous ...
Advances in medical infrared thermography
(University of Missouri--Columbia, 2022)
The association between illness and body temperature dates back to the beginnings of medicine. Over the last few years, infrared thermography has attracted increased attention in various medical applications due to ...
Metasurface integrated uncooled silicon germanium oxide microbolometers for long wavelength infrared detection
(University of Missouri--Columbia, 2022)
This report presents the design, fabrication, characterization, and noise optimization of metasurface enabled uncooled infrared (IR) microbolometers based on silicon germanium oxide (Si0.344Ge0.602O0.054), (Si0.425Ge0.512 ...
Metasurface based uncooled Sixgeyo1-x-y microbolometer for infrared detection
(University of Missouri--Columbia, 2022)
In this research, we have investigated metasurface integrated uncooled SixGeyO1-x-y microbolometers. Two device architecture were fabricated and characterized. The first design presents the implementation of metasurface ...
A study of the effects of cycling frequency on lithium-ion and lithium polymer batteries' degradation
(University of Missouri--Columbia, 2020)
Conventional energy sources are depleting rapidly and might last for another 50-150 years depending on our current usage. Environmental issues like global warming are also rising quickly. Renewable energy sources can address ...
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 ...
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 ...
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 ...
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 ...
Temporal decision making using unsupervised learning
(University of Missouri--Columbia, 2021)
With the explosion of ubiquitous continuous sensing, on-line streaming clustering continues to attract attention. The requirements are that the streaming clustering algorithm recognize and adapt clusters as the data evolves, ...