Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. Mahmoud, S., Sobieczky, F., Gil, J. M., Praher, P., & Freudenthaler, B. In Longo, F., Affenzeller, M., & Padovano, A., editors, Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), Virtual Event, Austria, 23-25 November 2020, volume 180, of Procedia Computer Science, pages 466–475, 2020. Elsevier.
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/ism2/MahmoudSGPF20,
  author       = {Salma Mahmoud and
                  Florian Sobieczky and
                  Jorge Mart{\'{\i}}nez Gil and
                  Patrick Praher and
                  Bernhard Freudenthaler},
  editor       = {Francesco Longo and
                  Michael Affenzeller and
                  Antonio Padovano},
  title        = {Decay-parameter Diagnosis in Industrial Domains by Robustness through
                  Isotonic Regression},
  booktitle    = {Proceedings of the 2nd International Conference on Industry 4.0 and
                  Smart Manufacturing {(ISM} 2020), Virtual Event, Austria, 23-25 November
                  2020},
  series       = {Procedia Computer Science},
  volume       = {180},
  pages        = {466--475},
  publisher    = {Elsevier},
  year         = {2020},
  url          = {https://doi.org/10.1016/j.procs.2021.01.263},
  doi          = {10.1016/J.PROCS.2021.01.263},
  timestamp    = {Wed, 01 Dec 2021 12:24:25 +0100},
  biburl       = {https://dblp.org/rec/conf/ism2/MahmoudSGPF20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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