Functional Networks for Modeling and Optimization Human-Machine Systems-Reference-Cited by-同舟云学术

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Functional Networks for Modeling and Optimization Human-Machine Systems

Published:2021 Issue: Volume: Page:189-196
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Lavrov Evgeniy^ORCID,Paderno P.^ORCID,Siryk O.^ORCID,Kyzenko V.,Kosianchuk S.,Bondarenko N.,Burkov E.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-66937-9_21

Reference24 articles.

1. Kagermann H, Albach H. et al. (2015) Change through digitization-value creation in the age of Industry 4.0. In Management of permanent change. Springer, New York, pp 23-45

2. Sedova N, Sedov V, Bazhenov R (2018) Neural networks and fuzzy sets theory for computer modeling of ship collision avoidance in heavy traffic zone. In: 2018 International Russian automation conference (Rusautocon), sochi, pp 1–5 https://doi.org/10.1109/rusautocon.2018.8501752

3. Bloomfield R, Lala J (2013) Safety-critical systems. The next generation. In IEEE Secur & Priv 11(4): 11–13

4. Mary GMJ, Munipriya P (2011) Health monitoring of IT industry people. In: 3rd International Conference on electronics computer technology, Kanyakumari, pp 144–148. https://doi.org/10.1109/icectech.2011.5941875

5. Zhong RY, Xu X, Klotz E, et al. (2017) Intelligent manufacturing in the context of industry 4.0: a review. Engineering 3(5):616–630

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1. Decision Support for Solving Problems of Ergonomic Provision of Contact Centers;Proceedings of the 9th International Ergonomics Conference;2023

2. Ergonomics in Ukraine;Proceedings of the 9th International Ergonomics Conference;2023

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