BibTeX record conf/isqed/PourHBN22a

download as .bib file

@inproceedings{DBLP:conf/isqed/PourHBN22a,
  author       = {Amir Ali Pour and
                  David H{\'{e}}ly and
                  Vincent Beroulle and
                  Giorgio Di Natale},
  title        = {An Efficient Approach to Model Strong {PUF} with Multi-Layer Perceptron
                  using Transfer Learning},
  booktitle    = {23rd International Symposium on Quality Electronic Design, {ISQED}
                  2022, Santa Clara, CA, USA, April 6-7, 2022},
  pages        = {1--6},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/ISQED54688.2022.9806257},
  doi          = {10.1109/ISQED54688.2022.9806257},
  timestamp    = {Mon, 04 Jul 2022 17:06:20 +0200},
  biburl       = {https://dblp.org/rec/conf/isqed/PourHBN22a.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.