Project 6: Processing data from a visual IoT sensor of fluid/structure interactions with machine learning REU Students: Pete Orkweha & Alexis Downing.

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Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
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Project #6: Processing data from a visual IoT sensor of Fluid/Structure interactions with Machine Learning REU Students: Alexis Downing and Pete Orkweha.
Project 6: Processing data from a visual IoT sensor of fluid/structure interactions with machine learning REU Students: Pete Orkweha & Alexis Downing.
Project #2: IoT and augmented reality: agents with pervasive awareness, appearance, and abilities REU Students: Nikhil Mahalanobis & Kendra Richards  Graduate.
Project #6: Processing data from a visual IoT sensor of Fluid/Structure interactions with Machine Learning REU Students: Alexis Downing and Pete Orkweha.
Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
Project #2: IoT and augmented reality: agents with pervasive awareness, appearance, and abilities REU Students: Nikhil Mahalanobis & Kendra Richards  Graduate.
Project 4: IoT-enabled peer-to-peer energy trading REU Students: Eric Elliott & Nicholas Shanklin Graduate mentors: Sharare Zehtabian Faculty mentor(s):
Project 4: IoT-enabled peer-to-peer energy trading REU Students: Eric Elliott & Nicholas Shanklin Graduate mentors: Sharare Zehtabian Faculty mentor(s):
Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
Presentation transcript:

Project 6: Processing data from a visual IoT sensor of fluid/structure interactions with machine learning REU Students: Pete Orkweha & Alexis Downing Graduate mentors: Nick Smith & Sharare Zehtabian Faculty mentor(s): Dr. Andrew Dickerson & Dr. Damla Turgut Week 7 (July 8 – July 12, 2019) Accomplishments: Analyse data (80/126 or 63.5%) Poster draft Refining paper Problem & Solutions Problem: Something went wrong with the first analysis, resulting in data being unusable. Solution: Analyse the data again. Plans for next week: Finishing Paper Finish Poster Process the new dataset.