Deep learning methods for wood composites failure predication

HIGHLIGHTS

  • who: Bin Yang and collaborators from the College of Material Science and Engineering, Central South University of Forestry and Technology, Changsha, China have published the research work: Deep Learning Methods for Wood Composites Failure Predication, in the Journal: Polymers 2023, 15, x FOR PEER REVIEW of /2023/
  • what: The experiments showed that the method has good measurement results. The authors propose an efficient and automatic measurement method based on convolutional neural_networks. This study elaborates on the mechanism of the semantic segmentation model for measuring WFP and reveals the influence law of the test conditions on . . .

     

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