EECS Research, Page 3

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Engineer uses advanced deep learning to predict where proteins will localize within cells

A Mizzou Engineer is developing computational tools that can be used to predict where proteins will localize within a cell. Using highly advanced deep learning, the resource could help researchers better understand how proteins function or, if positioned incorrectly within a cell, misfire and cause problems.

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Researchers use machine learning to decipher 17th Century handwriting

University of Missouri researchers are closer to deciphering historical scripts that could shed light on life and business in 17th Century Latin America.

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Engineer proposes deep learning system to speed drug development

A Mizzou Engineer has proposed a new deep learning system that would speed up drug development by more accurately predicting how drugs and proteins interact.

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Team studies virtual reality platforms using new CAVE

The team attempted to develop a new software that can create large-scale virtual models in the CAVE on campus.

Exterior of NextGen Health facility

Mizzou Engineers to help NextGen Precision Health professionals process, analyze, protect big data

Mizzou Engineers will help NextGen Precision Health professionals analyze the large volumes of information coming from sophisticated MRI and other imaging equipment, as well as determining how best to store that information securely.

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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.

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A faster ‘code breaker’ to analyze human DNA

Mizzou researchers are developing a free, online resource that could help scientists accelerate their discoveries for various human diseases.

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Undergraduates present brain research at Neuroscience 2021

Mizzou Engineering students joined neuroscientists from around the world last month to exchange ideas and new discoveries about the human brain.

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.

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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.