Online Defect Classification

Online Defect Classification is a methodological framework within defect classification that enables real-time identification and categorization of defects during manufacturing or inspection processes, distinguishing itself from offline approaches by its continuous, immediate, and in-process analysis capability.

60

Publications

3.6K

Citations

232

Authors

93

Institutions

Publications per year

2017–2026

36

Authors

232

  1. AS
    Alan S. Abrahams

    Virginia Tech, United States

    3 publications · 357 citations

    3

    h-index

  2. LL
    Leandro L. Minku

    University of Birmingham, United Kingdom

    3 publications · 130 citations

    3

    h-index

  3. GG
    George G. Cabral

    Universidade Federal Rural de Pernambuco, Brazil

    2 publications · 91 citations

    2

    h-index

  4. LT
    Lin Tan

    University of Waterloo, Canada

    2 publications · 385 citations

    2

    h-index

  5. WF
    Weiguo Fan

    Virginia Tech, United States

    2 publications · 280 citations

    2

    h-index

1–5 of 232

Venues

  1. Journal of Intelligent Manufacturing

    4 publications · 309 citations

    4

    h-index

  2. Decision Support Systems

    3 publications · 414 citations

    3

    h-index

  3. International Journal of Production Research

    2 publications · 123 citations

    2

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 2 publications · 81 citations

    2

    h-index

  5. 2

    h-index

1–5