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May 25, 2026
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Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
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Methods of criteria importance theory and their software implementation

P. 189–196.
Nelyubin A., Podinovskiy V. V., Potapov M.

WE present a general approach to the solution of the multicriteria
choice problem by methods of the Criteria importance theory. The overview
of methods of vector estimates comparison by preference using various types of
information about the preferences of the decision-maker is given. These methods are
implemented in the computer system DASS.

Language: English
Full text
DOI
Keywords: criteria importance theorydecision support systemMulticriteria analysisGraphical-analytical methods

In book

Computational Aspects and Applications in Large-Scale Networks. NET 2016.
Vol. 247: Computational Aspects and Applications in Large-Scale Networks. NET 2016. , Springer Publishing Company, 2018.
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