• Log In
Skip to content
High-Performance Engineering

High-Performance Engineering

HPC | AI | Embedded Edge Systems | Robotics | AR/VR

  • Home
  • Awards
  • Mission & Values
  • News
  • Partners and Sponsors
  • People
    • HiPE Alumni
    • HiPE Gallery
  • Posters
  • Projects
  • Publications
  • Technology
    • Accelerators
    • AR-VR Technology
    • Artificial Intelligence (AI) Dell Workstations
    • Artificial Intelligence (AI) Dell Mobile
    • Boards
    • Dell Monitors
    • Desktops
    • Drone
    • HiPE Dell Rack Servers
    • iMac Desktop
    • TXST Resources

IEEE AI-IoT Paper Accepted!

Dr. Valles’s collaboration paper, “Ultrasonic Frequency Anomaly Localization With Machine and Deep Learning,” with Evan Smith, Antonio Grahm, and Joni McCawley, has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).

Posted on April 19, 2024April 20, 2024Author Damian VallesCategories Deep Learning, Machine Learning, Papers

Post navigation

Previous Previous post: SERTAINTY/TXST-CIEDAR
Next Next post: IEEE AI-IoT Paper Accepted!
Proudly powered by WordPress