Graduate Research, Page 5

mocanfeature

Mizzou Engineers take honors at MOCAP poster competition

Mizzou Engineers took top honors from a poster competition held as part of the annual summit of the Missouri Center for Advanced Power Systems (MOCAP).

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Team creating system to monitor vital signs, alert patients

A Mizzou Engineering team is developing a system that will monitor vital signs and may someday be able to alert people when they need to seek medical care.

Finger

Custom finger clip offers a new way to measure blood pressure, other vitals

Researchers are customizing a commercial finger clip device to provide a rapid, noninvasive way for measuring and continually monitoring blood pressure.

Graphic showing drones over network area

Team uses machine learning to train multiple drones to collaborate within a network

The team used machine learning to train drones to work together within a network to survey an area, track objects and transmit information back to a ground station.

Zero gravity

Breathtaking: Students describe working in zero gravity conditions

Mizzou Engineers describe zero-gravity conditions on board G-FORCE ONE.

Khaza Anuarul Hoque

Approximate computing remains vulnerable to attacks; Mizzou Engineers to present findings at IEEE DATE conference

Companies relying on faster, less precise computing to gain energy efficiency still need to be cautious against cyberattacks, Mizzou Engineers have found.

Shadows in images

Team designs model to automatically detect shadows in aerial images

A Mizzou Engineering team has designed a physics-based model to automatically detect shadows in large-scale aerial images.

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Computer science students receive UPE Scholarships

Two students from the Department of Electrical Engineering and Computer Science were awarded scholarships from Upsilon Pi Epsilon.

AI predictions of trees.

Team develops method to automatically detect, identify trees

Mizzou Engineering students are developing innovative methods and software to automatically detect and identify tree species

heart monitoring chart

Team develops new method to detect cardiovascular dysfunctions

A Mizzou research team has developed a way to better identify cardiovascular dysfunctions through non-invasive sensors that translate signals from the body into information physicians can use to inform treatment decisions.