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@ARTICLE{Raffeis:1019275,
      author       = {Raffeis, Iris and Rom, Christian Michael and
                      Adjei-Kyeremeh, Frank and Bührig-Polaczek, Andreas},
      title        = {{C}onvolutional neural networks for additively manufactured
                      hot work steel {H}11: classification and prediction of
                      mechanical properties},
      journal      = {The international journal of advanced manufacturing
                      technology},
      volume       = {140},
      number       = {11/12},
      issn         = {1433-3015},
      address      = {London},
      publisher    = {Springer},
      reportid     = {RWTH-2025-08300},
      pages        = {6249-6264},
      year         = {2025},
      cin          = {526110 / 520000 / 110000 / 111410},
      ddc          = {670},
      cid          = {$I:(DE-82)526110_20140620$ / $I:(DE-82)520000_20140620$ /
                      $I:(DE-82)110000_20140620$ / $I:(DE-82)111410_20170801$},
      pnm          = {DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of
                      Production (IoP) (390621612) / WS-B1.I-neu - Injection
                      Moulding (X080067-WS-B1.I-neu)},
      pid          = {G:(GEPRIS)390621612 / G:(DE-82)X080067-WS-B1.I-neu},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001585496900001},
      doi          = {10.1007/s00170-025-16601-9},
      url          = {https://publications.rwth-aachen.de/record/1019275},
}