Papers:
Athlete Engineering BaseLine Ecosystem: innovative technologies to enhance human performance
Luczak T., 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 [...]
Flexible AI for real-world environments
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 [...]
Real-time Multi-Modality Clinical Decision Support Platform: An Overview of Incorporating Deep Learning within Multi-Modality Fusion Framework in HealthCare
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. [...]
Automated Classification of Defected Images by Means of Machine Learning for Improved Analysis of Vehicle Undercarriages
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
ISBN: 979-8-218-00238-1