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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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Term extraction for constructing subject index of educational scientific text

P. 143–152.
Bolshakova E. I., Ivanov K.

Subject index, or back-of-the-book index, is a device intended to provide an easy access to relevant fragments of a text document. Subject indexes usually contain particular single-word and multi-word terms from the corresponding documents. Such indexes are especially useful for reading large documents with specialized terminology, as well as educational texts in difficult scientific and technical areas. The central problem of back-of-the-book indexing is recognition of terms to be included into the index. The paper describes a method developed for extracting and filtering terms from a given educational scientific text, with the purpose of reliable term selection in computer indexing systems. The method is primarily based on rules with lexico-syntactic patterns representing linguistic information about terms and typical contexts of their usage in Russian scientific and educational texts; simple occurrences statistics of terms is used as well.  Experimental evaluation of the method has shown a considerable increase of precision and recall of term extraction compared with the widely-used standard techniques.

Language: English
Text on another site
Keywords: компьютерная лингвистикаcomputational linguisticsautomatic term extractionававтоматическое извлечение терминов

In book

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 30 мая — 2 июня 2018 г.)
Вып. 17(24). , М.: Издательский центр «Российский государственный гуманитарный университет», 2018.
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