Artificial Intelligence Technologies for Business Continuity Protection in Industry 4.0

Author:

Zabezhailo Michael I.ORCID,Trunin Yu. Yu.ORCID

Publisher

Springer Singapore

Reference22 articles.

1. World Economic Forum. ICT for Economic Growth: A Dynamic Ecosystem Driving the Global Recovery. Annual Meeting Report—World Economic Forum Publishing. https://www.ifap.ru/pr/2009/n090910b.pdf (2009). Accessed 10 Nov 2021

2. Grusho, A.A., Zabezhailo, M.I., Piskovski, V.O., Timonina E.E.: Industry 4.0: opportunities and risks in the context of information security problems. Autom. Doc. Math. Linguist. 54(2), 55–63 (2020)

3. Grusho, A., Zabezhailo, M., Timonina, E.: On causal representativeness of training samples of precedents in diagnostic type tasks. Inform. Primen. 14(1), 80–86 (2020)

4. Zabezhailo, M.I., Trunin, YuYu.: On the problem of medical diagnostic evidence: intelligent analysis of empirical data on patients in samples of limited size. Autom. Doc. Math. Linguist. 53(6), 322–328 (2019)

5. Zabezhailo, M.I., Trunin, Y.Y.: On the reliability of medical diagnosis based on empirical data. Sci. Technol. Inform. Process. 48(5), 1–8 (2021)

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