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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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May 25, 2026
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?

User-generated Content in E-commerce Decision-making: Literature review

P. 92–101.
Beylina E.

This study aims to describe the scientific field of the user generated content (UGC) research through the bibliographic literature revie. The current paper will help to find the gaps in the literature and propose new areas for the research. Specifically, this article tries to find the connection between consumer decision making process in online and the UGC which can affect the purchase decision. A bibliometric approach is used in the current paper which consists of the 169 articles collected though the Scopus from 2006 to 2022. Based on the most frequently used keywords there were detected 4 clusters: “Decision-making based on online-reviews”, “Computer science and review helpfulness”, “Trust and UGC in e-commerce”, and “Purchase decision and information quality”. This work is one of the first ones which investigate the published works about consumer-decision making process in e-commerce and tries to connect it with the content published by the other consumers.

Language: English
Keywords: e-commerceUser Generated Contente-WoMconsumer decision making

In book

GSOM emerging markets conference 2022 : CONFERENCE BOOK, Saint-Petersburg, 05–08 октября 2022 года
St. Petersburg State University Graduate School of Management, 2022.
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