A Framework to Improve the Accuracy of Process Simulation Models

A Framework to Improve the Accuracy of Process Simulation Models. Meneghello, F., Fracca, C., de Leoni, M., Asnicar, F., & Turco, A. In Guizzardi, R. S. S., Ralyt'e, J., & Franch, X., editors, Research Challenges in Information Science - 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings, volume 446, of Lecture Notes in Business Information Processing, pages 142–158, 2022. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/rcis/MeneghelloFLAT22,
  author    = {Francesca Meneghello and
               Claudia Fracca and
               Massimiliano de Leoni and
               Fabio Asnicar and
               Alessandro Turco},
  editor    = {Renata S. S. Guizzardi and
               Jolita Ralyt{\&apos;{e}} and
               Xavier Franch},
  title     = {A Framework to Improve the Accuracy of Process Simulation Models},
  booktitle = {Research Challenges in Information Science - 16th International Conference,
               {RCIS} 2022, Barcelona, Spain, May 17-20, 2022, Proceedings},
  series    = {Lecture Notes in Business Information Processing},
  volume    = {446},
  pages     = {142--158},
  publisher = {Springer},
  year      = {2022},
  url       = {https://doi.org/10.1007/978-3-031-05760-1\_9},
  doi       = {10.1007/978-3-031-05760-1\_9},
  timestamp = {Mon, 16 May 2022 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/rcis/MeneghelloFLAT22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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