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Single and ensemble classifiers for defect prediction in sheet metal forming under variability.

Mario DibN. J. OliveiraAmândio MarquesMarta Cristina OliveiraJ. V. FernandesB. M. RibeiroPedro A. Prates
Published in: Neural Comput. Appl. (2020)
Keyphrases
  • ensemble classifier
  • defect prediction
  • sheet metal
  • data sets
  • artificial intelligence
  • decision trees
  • machine learning
  • support vector
  • multiresolution
  • feature set
  • random forest
  • concept drift