, Burch R.
, Nelsen P.
, Freeman C.
, Chander H.
, Ball J.
, Jones J.A.
, Barlow J.
, Saucier D.
, Duclos M.
, Grice S.
, Taquino M.
, Mississippi State University, US
The Athlete engineering BaseLine Ecosystem (AeBLE) is a collection of integrated innovations impacting human performance, health, and wellness. AeBLE integrates artificial intelligence-driven mobile markerless motion capture, embedded wearable sensors, and augmented and virtual immersive technologies [...]
AI remains less capable compared to humans at quickly accumulating knowledge without forgetting what they previously learned. Everything that might happen in the robot’s work environment must be in the training set and rehearsed in [...]
Synopsis Every second, modern health care ecosystem is generating a wide range of clinical data format including structured, unstructured, image, and high-frequency waveform data. The volume of data is also growing at an exponential rate. [...]
This research focuses on the development of a vehicle undercarriage image quality machine learning model. The model returns the quality of the image across several categories which are used for classifying image defects. Through analysis [...]
Journal: TechConnect Briefs
Volume: TechConnect Briefs 2022
Published: June 13, 2022
Industry sector: Advanced Materials & Manufacturing
Topics: AI Innovations, Informatics, Modeling & Simulation