A Chatbot for Training Employees in Industry 4.0-Reference-Cited by-同舟云学术

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A Chatbot for Training Employees in Industry 4.0

Published:2021 Issue: Volume: Page:397-409
ISSN:2213-8684
Container-title:Research and Innovation Forum 2020
language:
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Author:

Casillo Mario,Colace Francesco^ORCID,De Santo Massimo,Lombardi Marco^ORCID,Santaniello Domenico^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62066-0_30

Reference27 articles.

1. Y. Lu, Industry 4.0: A survey on technologies, applications and open research issues. J. Ind. Inf. Integr. (2017). https://doi.org/10.1016/j.jii.2017.04.005

2. L. Da Xu, L. Duan, Big data for cyber physical systems in industry 4.0: a survey. Enterp. Inf. Syst. (2019). https://doi.org/10.1080/17517575.2018.1442934

3. M. Gaeta, V. Loia, S. Tomasiello, A generalized functional network for a classifier-quantifiers scheme in a gas-sensing system. Int. J. Intell. Syst. (2013). https://doi.org/10.1002/int.21613

4. F. Colace, M. De Santo, M. Lombardi, F. Pascale, D. Santaniello, A. Tucker, A multilevel graph approach for predicting bicycle usage in London area, in Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1027, ed. by X.S. Yang, S. Sherratt, N. Dey, A. Joshi (Springer, Singapore, 2020), pp. 353–362. https://doi.org/10.1007/978-981-32-9343-4_28

5. F. Colace, M. Lombardi, F. Pascale, D. Santaniello, A. Tucker, P. Villani, MuG: A multilevel graph representation for big data interpretation, in 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 1408–1413, June 2018. https://doi.org/10.1109/hpcc/smartcity/dss.2018.00233

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