Auto-encoder-enabled anomaly detection in acceleration data: use case study in container handling operations

HIGHLIGHTS

• who: Sergej Jakovlev and Miroslav Voznak from the Department of Telecommunications, VŠB-Technical University of, listopadu, have published the research: Auto-Encoder-Enabled Anomaly Detection in Acceleration Data: Use Case Study in Container Handling Operations, in the Journal: Machines 2022, 734 of 28/07/2022
• what: The authors have analyzed the conventional means used to detect these critical impacts and found that they are outdated having no real-time assessment capability only post-factum visual evaluation results. The authors have analyzed the real-life applicability of a trained auto-encoder During the experiment, 9 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.