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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
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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?

About One Method of Constructing a Code-Based Cryptosystem Based on Quasi-Cyclic Codes

P. 1–5.
Isaeva M., Ovchinnikov A.

This article discusses the problem of constructing a public-key code-based cryptosystem based on quasi-cyclic codes
and the hard task of complete decoding. Experiments analyzing the correcting ability of the considered code system are
presented. The ways of increasing the corrective ability of this code system are proposed.

Language: English
DOI
Keywords: post-quantum cryptographypublic-key cryptographycode cryptosystemquasi-cyclic codes

In book

2022 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) 30 May - 3 June 2022, St. Petersburg, Russia.
IEEE, 2022.
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