BibTeX record conf/iecon/BerghoutBA22

download as .bib file

@inproceedings{DBLP:conf/iecon/BerghoutBA22,
  author       = {Tarek Berghout and
                  Mohamed Benbouzid and
                  Yassine Amirat},
  title        = {Improving Small-scale Machine Learning with Recurrent Expansion for
                  Fuel Cells Time Series Prognosis},
  booktitle    = {{IECON} 2022 - 48th Annual Conference of the {IEEE} Industrial Electronics
                  Society, Brussels, Belgium, October 17-20, 2022},
  pages        = {1--5},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/IECON49645.2022.9968566},
  doi          = {10.1109/IECON49645.2022.9968566},
  timestamp    = {Sun, 12 Nov 2023 02:11:54 +0100},
  biburl       = {https://dblp.org/rec/conf/iecon/BerghoutBA22.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.