A study on sample size sensitivity of factory manufacturing dataset for cnn-based defective product classification

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  • who: Dongbock Kim et al. from the Department of Mathematics Education, Kyungnam University, have published the article: A Study on Sample Size Sensitivity of Factory Manufacturing Dataset for CNN-Based Defective Product Classification, in the Journal: Computation 2022, x of /2022/
  • what: Most of the research on deep learning applications in manufacturing has focused on a degree of performance using different pre-trained CNN models and different approaches to preprocessing. The authors aim to specify the standards of dataset for an initial attempt of AI factorization in actual manufacturing process in SMEs, in which the . . .

     

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