Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. Mahmoud, S., Sobieczky, F., Martinez-Gil, J., 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.
Paper doi bibtex @inproceedings{DBLP:conf/ism2/MahmoudSGPF20,
author = {Salma Mahmoud and
Florian Sobieczky and
Jorge Martinez{-}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 = {Thu, 24 Jul 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ism2/MahmoudSGPF20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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