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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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The Potential of Developing Creativity Through Learning Chinese Characters as L2

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Luppov M.

Developing creativity and measuring it is an important part of educational process in innovative world. In this paper, the Chinese characters have been examined as idiomatic symbols and their structure has been described. Through the survey, the approximated potential of Chinese writing system to create new idiomatic symbols has been calculated. The problems of teaching Chinese and Chinese characters has also been described to better understand the possible difficulties of teaching and learning characters in case of developing creativity. The findings from this study describe the achievable models of using Chinese characters as metrics to examine the creativity ability of a person and the system to develop person’s creativity ability.

Language: English
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Keywords: educationcreativityChinesecharactersidiomatic symbols

In book

Creative person and the development of creativity. A challenge for contemporary society
Nizhny Novgorod, Rome: QUAPEG, 2023.
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