Develop an AI-driven video borescope by introducing a graph network-enabled meta-learning framework.
Sponsor: Oklahoma Center for the Advancement of Science and Technology (OCAST) and Baker Hughes
Develop an integrated AI-driven robotic visual platform with autonomous dynamic path planning and safe navigation capability for inspection data collection and real time defect identification.
Sponsor: Department of Energy (DOE)
Develop a super-resolution generative adversarial network (SRGAN) enabled vehicle seat pressure sensing system that can accurately sense and locate surface pressure.
Sponsor: Institute for Advanced Engineering, Korea
AI-powered RF drone recognition enhancement, built to improve RF spectrum sensing quality, reduce irrelevant alerts, and make sensor outputs more trustworthy in harsh and noisy environments.
Sponsor: AeroDefense