EECS Research, Page 8

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Engineering team develops system to segment, track cells from images

A Mizzou Engineering team won a Best Paper Award at an international workshop for work around detecting and tracking cells in microscopy videos.

AIFeature

Researchers use simulated environments to train AI

A Mizzou Engineering team is hoping to lead artificial intelligence (AI) into a new era by foregoing real-world data in favor of simulated environments.

Three men with drone.

Army Research Lab internship part of ongoing research around drones

A Mizzou Engineering graduate student has returned from a two-month internship at the Army Research Laboratory (ARL) in Adelphi, Maryland, where he investigated best practices and…

AIPRfeature

Mizzou Engineering hosts 50th AIPR Workshop

Mizzou Engineering hosted the 50th Applied Imagery Pattern Recognition (AIPR) Workshop.

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New protein prediction tool could accelerate biological discoveries

A Mizzou Engineering team has released new software that will allow computers to automatically predict protein interactions.

Roots

Mizzou Engineer develops software tool to investigate root growth

A Mizzou Engineer has developed a software tool that could enable farmers to develop crop cultivars that are drought resistant, ensuring roots can reach falling water tables, adapt to warmer temperatures and be more resilient to environmental changes.

Faces

Mizzou Engineering team takes third at Guess the Age competition

A Mizzou Engineering team took third place at the Guess the Age contest, part of the biannual 19th International Conference on Computer Analysis of Images and Patterns held in Cyprus.

Devices

Designing ‘smart’ security for smart devices

A Mizzou Engineering is developing a flexible, add-on security feature that allows different types of smart devices to intelligently learn from past cyberattacks.

Black and white image of eye.

Mizzou Engineering paper among IEEE top 10 featured articles

A Mizzou Engineer's paper was selected as a Featured Article in the Institute of Electrical and Electronics Engineers Transactions on Image Processing.

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Researchers training machines to recognize vocal fatigue

Diagnosing vocal fatigue requires an in-person consultation. But someday, a wearable device or smart app could detect vocal fatigue early and help sufferers prevent further problems.