KFU. Card publication. Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms

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- 中文
- ES

COMPARATIVE ANALYSIS OF INTELLIGENT METHODS FOR AUTOMATIC ANOMALY DETECTION IN INDUSTRIAL AND DISTRIBUTED SYSTEMS BASED ON MACHINE LEARNING AND DEEP LEARNING ALGORITHMS

Form of presentation

Articles in international journals and collections

Year of publication

2025

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Authors, employees of KFU

Arabov Mullosharaf Kurbonovich, author

Burnashev Rustam Arifovich, author

Medvedeva Olga Anatolievna, author

Bibliographic description in the original language

Arabov M.K., Burnashev R.A., Medvedeva O.A. Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms//RusAutoCon - Proceedings of the International Russian Automation Conference. - 2025. - Vol., Is.2025. - P.279-284.

Keywords

Expert systems, knowledge base, machine learning

The name of the journal

RusAutoCon - Proceedings of the International Russian Automation Conference

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018742564&doi=10.1109%2FRusAutoCon65989.2025.11177379&partnerID=40&md5=470206aa0cd4ce6ea3dff1167aec133e

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=318821&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Arabov Mullosharaf Kurbonovich	ru_RU
dc.contributor.author	Burnashev Rustam Arifovich	ru_RU
dc.contributor.author	Medvedeva Olga Anatolievna	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Arabov M.K., Burnashev R.A., Medvedeva O.A. Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms//RusAutoCon - Proceedings of the International Russian Automation Conference. - 2025. - Vol., Is.2025. - P.279-284.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=318821&p_lang=2	ru_RU
dc.description.abstract	RusAutoCon - Proceedings of the International Russian Automation Conference	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Expert systems	ru_RU
dc.subject	knowledge base	ru_RU
dc.subject	machine learning	ru_RU
dc.title	Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms	ru_RU
dc.type	Articles in international journals and collections	ru_RU