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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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Bridging the Muslim World and Latin America through Big Science: The Interplay of Science Diplomacy and Cooperation at JINR

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Suleymanov I.
Language: English
Full text
Keywords: международное научно-техническое сотрудничествонаучная дипломатияBig scienceмегасайенсScience diplomacy international cooperation in science and technologymegascience

In book

3rd International Symposium of the UNESCO Chair on Science Diplomacy and Scientific Heritage “Cross-Continental Circulation of Knowledge and Scientific Bridges: Historical Legacies and Emerging Collaborations between the Muslim World and Latin America", 26-28 November 2025, Ibn Haldun University, Istanbul, Türkiye​
Istanbul: Ibn Haldun University, 2025.
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