BibTeX record journals/access/AkramiHFAA23

download as .bib file

@article{DBLP:journals/access/AkramiHFAA23,
  author       = {Nouhaila El Akrami and
                  Mohamed Hanine and
                  Emmanuel Soriano Flores and
                  Daniel Gavilanes Aray and
                  Imran Ashraf},
  title        = {Unleashing the Potential of Blockchain and Machine Learning: Insights
                  and Emerging Trends From Bibliometric Analysis},
  journal      = {{IEEE} Access},
  volume       = {11},
  pages        = {78879--78903},
  year         = {2023},
  url          = {https://doi.org/10.1109/ACCESS.2023.3298371},
  doi          = {10.1109/ACCESS.2023.3298371},
  timestamp    = {Fri, 18 Aug 2023 08:45:19 +0200},
  biburl       = {https://dblp.org/rec/journals/access/AkramiHFAA23.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.