Comparative analysis of machine learning models for anomaly detection in manufacturing

Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski. Comparative analysis of machine learning models for anomaly detection in manufacturing. In Francesco Longo 0002, Michael Affenzeller, Antonio Padovano, editors, Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021. Volume 200 of Procedia Computer Science, pages 1288-1297, Elsevier, 2021. [doi]

@inproceedings{KharitonovNPT21,
  title = {Comparative analysis of machine learning models for anomaly detection in manufacturing},
  author = {Andrey Kharitonov and Abdulrahman Nahhas and Matthias Pohl and Klaus Turowski},
  year = {2021},
  doi = {10.1016/j.procs.2022.01.330},
  url = {https://doi.org/10.1016/j.procs.2022.01.330},
  researchr = {https://researchr.org/publication/KharitonovNPT21},
  cites = {0},
  citedby = {0},
  pages = {1288-1297},
  booktitle = {Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021},
  editor = {Francesco Longo 0002 and Michael Affenzeller and Antonio Padovano},
  volume = {200},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}