Early identification of unbalanced freight traffic loads based on wayside monitoring and artificial intelligence

HIGHLIGHTS

  • who: R. Silva and colleagues from the Faculty of Engineering, University of Porto, Porto, Portugal have published the research: Early Identification of Unbalanced Freight Traffic Loads Based on Wayside Monitoring and Artificial Intelligence, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
  • what: The aim of this procedure is to obtain normalized features sensitive to the damage, and typically, latent variable methods are used, such as principal components analysis (PCA) or regressive methods, as well as multiple linear regression (MLR) . This research aims to design a low-cost monitoring system capable of . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?