E-Learning and Industry 4.0: A Chatbot for Training Employees-Reference-Cited by-同舟云学术

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E-Learning and Industry 4.0: A Chatbot for Training Employees

Published:2020-10-01 Issue: Volume: Page:445-453
ISSN:2194-5357
Container-title:Proceedings of Fifth International Congress on Information and Communication Technology
language:
Short-container-title:

Author:

Clarizia Fabio,De Santo Massimo,Lombardi Marco^ORCID,Santaniello Domenico^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5859-7_44

Reference26 articles.

1. Lu, Y.: Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inf. Integr. 6, 1–10 (2017). https://doi.org/10.1016/j.jii.2017.04.005

2. Abate, F., Carratù, M., Liguori, C., Ferro, M., Paciello, V.: Smart meter for the IoT. In: I2MTC 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings, 2018, pp. 1–6 https://doi.org/10.1109/i2mtc.2018.8409838

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

4. Colace, F., Santaniello, D., Casillo, M., Clarizia, F.: BeCAMS: a behaviour context aware monitoring system. In: 2017 IEEE International Workshop on Measurement and Networking, M and N 2017—Proceedings, 2017 https://doi.org/10.1109/iwmn.2017.8078374

5. Da Xu, L., Duan, L.: Big data for cyber physical systems in industry 4.0: a survey. Enterp. Inf. Syst. 13(2), 148–169 (2019). https://doi.org/10.1080/17517575.2018.1442934

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