Comparison of Biologically Inspired and Modeling Approaches for Predicting Possible Condition Change in Critical Occupational Workers-Reference-Cited by-同舟云学术

Comparison of Biologically Inspired and Modeling Approaches for Predicting Possible Condition Change in Critical Occupational Workers

Published:2024 Issue: Volume: Page:56-61
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:en
Short-container-title:

Author:

Alyushin Mikhail V.^ORCID,Kolobashkina Lyubov V.^ORCID,Bitney Vladislav D.^ORCID,Okhlopkov Andrey V.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-50381-8_8

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3. Alyushin, M.V., Alyushin, A.V., Andryushina, L.O., Kolobashkina, L.V., Pshenin, V.V.: Distant and noncontact technologies for registration of operating personnel bio parameters as a mean of human factor control and NPP security improvement. Glob. Nucl. Saf. 3(8), 69–77 (2013)

4. Alyushin, M.V., Kolobashkina, L.V., Golov, P.V., Nikishov, K.S.: Adaptive behavioral model of the electricity object management operator for intelligent current personnel condition monitoring systems. Mech. Mach. Sci. 80, 319–327 (2020)

5. Acharya, U.R., Joseph, K.P., Kannathal, N., Lim, C.M., Suri, J.S.: Heart rate variability: a review. Med. Biol. Eng. Comput. 44, 1031–1051 (2006)

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