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Acoustic Monitoring of the Psycho-Emotional State of Operational Personnel in the Management of High-Risk Objects Based on Neuromorphic Self-Learning Systems

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dc.contributor.authorArkhangelsky, V. G.
dc.contributor.authorAlyushin, A. V.
dc.contributor.authorAlyushin, S. A.
dc.contributor.authorАлюшин, Александр Васильевич
dc.date.accessioned2024-11-27T12:16:52Z
dc.date.available2024-11-27T12:16:52Z
dc.date.issued2020
dc.description.abstract© 2020 IEEE.High confidence in the definition of operational personnel psycho-emotional stat is achieved by using a modern element base (processing environment)-a unified neuromorphic platform in the form of a fractal memristive structure with space-parametric self-learning. Experimental study of the proposed platform revealed its ability to synthesize new structural solutions and "dimensions"of the operational personnel psycho-emotional stat information representation.
dc.identifier.citationArkhangelsky, V. G. Acoustic Monitoring of the Psycho-Emotional State of Operational Personnel in the Management of High-Risk Objects Based on Neuromorphic Self-Learning Systems / Arkhangelsky, V.G., Alyushin, A.V., Alyushin, S.A. // Proceedings of 2020 13th International Conference Management of Large-Scale System Development, MLSD 2020. - 2020. - 10.1109/MLSD49919.2020.9247823
dc.identifier.doi10.1109/MLSD49919.2020.9247823
dc.identifier.urihttps://www.doi.org/10.1109/MLSD49919.2020.9247823
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85097522397&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/22737
dc.relation.ispartofProceedings of 2020 13th International Conference Management of Large-Scale System Development, MLSD 2020
dc.titleAcoustic Monitoring of the Psycho-Emotional State of Operational Personnel in the Management of High-Risk Objects Based on Neuromorphic Self-Learning Systems
dc.typeConference Paper
dspace.entity.typePublication
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