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@ARTICLE{Rabe:999313,
      author       = {Rabe, Pascal and Schiebahn, Alexander and Reisgen, Uwe},
      title        = {{D}evelopment and validation of a generalized, {AI}-based
                      inline void defect detection solution for {FSW} based on
                      force feedback},
      journal      = {Welding in the world},
      volume       = {69},
      number       = {2},
      issn         = {1878-6669},
      address      = {Berlin ; Heidelberg},
      publisher    = {Springer},
      reportid     = {RWTH-2024-12022},
      pages        = {499-541},
      year         = {2024},
      note         = {Published: 11 December 2024},
      cin          = {417610},
      ddc          = {620},
      cid          = {$I:(DE-82)417610_20140620$},
      pnm          = {DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of
                      Production (IoP) (390621612) / WS-B2.I - Connected Job Shop
                      (X080067-WS-B2.I)},
      pid          = {G:(GEPRIS)390621612 / G:(DE-82)X080067-WS-B2.I},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001376712700001},
      doi          = {10.1007/s40194-024-01895-2},
      url          = {https://publications.rwth-aachen.de/record/999313},
}