Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms

Emrullah Gultekin, Mehmet S. Aktas. Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms. In Osvaldo Gervasi, Beniamino Murgante, Ana Maria A. C. Rocha, Chiara Garau, Francesco Scorza, Yeliz Karaca, Carmelo M. Torre, editors, Computational Science and Its Applications - ICCSA 2023 Workshops - Athens, Greece, July 3-6, 2023, Proceedings, Part V. Volume 14108 of Lecture Notes in Computer Science, pages 16-31, Springer, 2023. [doi]

@inproceedings{GultekinA23,
  title = {Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms},
  author = {Emrullah Gultekin and Mehmet S. Aktas},
  year = {2023},
  doi = {10.1007/978-3-031-37117-2_2},
  url = {https://doi.org/10.1007/978-3-031-37117-2_2},
  researchr = {https://researchr.org/publication/GultekinA23},
  cites = {0},
  citedby = {0},
  pages = {16-31},
  booktitle = {Computational Science and Its Applications - ICCSA 2023 Workshops - Athens, Greece, July 3-6, 2023, Proceedings, Part V},
  editor = {Osvaldo Gervasi and Beniamino Murgante and Ana Maria A. C. Rocha and Chiara Garau and Francesco Scorza and Yeliz Karaca and Carmelo M. Torre},
  volume = {14108},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-37117-2},
}