BibTeX record journals/ijcim/SotoTG19

download as .bib file

@article{DBLP:journals/ijcim/SotoTG19,
  author       = {Jos{\'{e}} Angel Carvajal Soto and
                  Farshid Tavakolizadeh and
                  D{\'{a}}vid Gyulai},
  title        = {An online machine learning framework for early detection of product
                  failures in an Industry 4.0 context},
  journal      = {Int. J. Comput. Integr. Manuf.},
  volume       = {32},
  number       = {4-5},
  pages        = {452--465},
  year         = {2019},
  url          = {https://doi.org/10.1080/0951192X.2019.1571238},
  doi          = {10.1080/0951192X.2019.1571238},
  timestamp    = {Thu, 24 Nov 2022 09:21:40 +0100},
  biburl       = {https://dblp.org/rec/journals/ijcim/SotoTG19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.