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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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Проблема интерпретации, дифференциации и классификации цифровых продуктов

Бизнес-информатика. 2023. Т. 17. № 2. С. 55–70.
Shaidullin A.

Digital innovative products often become a significant factor in the revision of companies’ business strategies and influence consumer preferences. A key component in the process of formulating such strategies is understanding the implications underlying the attributes of digital products. This requires a good understanding of their nature and characteristics. To date, there is no solid basis for classifying various digital products according to their inherent characteristics. This paper presents a new interpretation of “digital products” based on the analysis of 2954 scientific articles from the Scopus database. It discusses the problems of differentiation of digital products from other types of products (such as “cyber-physical products,” “digitized products,” “smart products,” etc.). We also developed a new classification of digital products by the method of highlighting their key attributes. The purpose of the study is to develop an advanced classification of digital products based on their differentiation from other types of products. The classification we constructed based on the principles of differentiation will allow innovators and businessmen to create more profound and more advanced business models.

Research target: Economics and Management Computer Science
Language: Russian
DOI
Text on another site
Keywords: классификацияclassificationбиблиометрический анализцифровизацияbibliometric analysisdigitalizationцифровые продуктыdigital productsphysical productcyber-physical productsфизический продукткиберфизические продукты
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