Performance evaluation of full-cloud and edge-cloud architectures for Industrial IoT anomaly detection based on deep learning

Paolo Ferrari, Stefano Rinaldi, Emiliano Sisinni, F. Colombo, F. Ghelfi, D. Maffei, M. Malara. Performance evaluation of full-cloud and edge-cloud architectures for Industrial IoT anomaly detection based on deep learning. In 2nd Workshop on Metrology for Industry 4.0 and IoT MetroInd4.0&IoT 2019, Naples, Italy, June 4-6, 2019. pages 420-425, IEEE, 2019. [doi]

@inproceedings{FerrariRSCGMM19,
  title = {Performance evaluation of full-cloud and edge-cloud architectures for Industrial IoT anomaly detection based on deep learning},
  author = {Paolo Ferrari and Stefano Rinaldi and Emiliano Sisinni and F. Colombo and F. Ghelfi and D. Maffei and M. Malara},
  year = {2019},
  doi = {10.1109/METROI4.2019.8792860},
  url = {https://doi.org/10.1109/METROI4.2019.8792860},
  researchr = {https://researchr.org/publication/FerrariRSCGMM19},
  cites = {0},
  citedby = {0},
  pages = {420-425},
  booktitle = {2nd Workshop on Metrology for Industry 4.0 and IoT MetroInd4.0&IoT 2019, Naples, Italy, June 4-6, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-0429-4},
}