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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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?

Service Management and Customer Orientation in Russian Banking Industry

P. 632–636.
Prosvirkina E. Y.

Though the service sector is growing rapidly in the emerging markets, including Russia, the quality of services is still low in comparison with the developed countries. Thus, organizations should implement strategic services management and create a customer-oriented culture. To analyze the role of customer orientation in the service sector in Russia, banking industry is considered. Based on the data collection of fifty largest banks it is determined that only thirty percent of the sample declares customer orientation as a corporate value. The calculation of corporate value index demonstrated that banks pay less attention to customer focus and more frequently mention effectiveness, trust, teamwork, and openness as the main values. An analysis of required skills and competencies of employees also demonstrated that customer orientation is not one of the main requirements to personnel in Russia.

Language: English
Keywords: банкиbank

In book

Proceedings of 2013 International Conference on Logistics, Informatics and Services Sciences (LISS'2013)
Springer-Verlag Berlin Heidelberg, 2013.
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