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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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Exercise Maker: Automatic Language Exercise Generation

P. 441–452.
Malafeev A.

Current trends in education, namely blended learning and computer-assisted language learning, underlie the growing interest to the task of automatically generating language exercises. Such automatic systems are especially in demand given the variability in language learning. Despite the abundance of resources for language learning, there is often a lack of specific exercises targeting a particular group of learners or ESP course. This paper gives an overview of a computer system called Exercise Maker that is aimed at flexible and versatile language exercise generation. The system supports seven exercise types, which can be generated from arbitrary passages written in English. Being able to tailor educational material to learners’ interests is known to boost motivation in learners (Heilman et al., 2010). An important feature of the system is the automatic ranking of the source passages according to their complexity/readability. As shown by expert evaluation, the automatically generated exercises are of high quality: the gap precision is about 97-98%, while the overall exercise acceptance rate varies from 90% to 97.5%. Exercise Maker is freely available for educational and research purposes.

Language: English
Full text
Keywords: лексико-грамматические упражненияnatural language processingавтоматическая обработка текстаTeaching English as a Foreign Language (TEFL)lexico-grammatical exercisescomputer-assisted language learningEnglish as a foreign languagelanguage exercise generationанглийский язык как иностранныйtext readabilityавтоматическое создание языковых упражненийобучение иностранному языку с помощью компьютераанализ сложности текста

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Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2015)
Issue 14(21). , M.: Russian State University for the Humanitie, 2015.
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