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News
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.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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GSOM Emerging Markets Conference 2018: Book of Abstracts. St. Petersburg : Graduate School of Management, St. Petersburg University. Graduate School of Management, St. Petersburg University, 2018.

СПб. : Graduate School of Management, St. Petersburg University, 2018.
Chapters
Collateral Determinants in Bank Loans: The Conductor of Credit Risks' Polyphony
Khon O. D., , in: GSOM Emerging Markets Conference 2018: Book of Abstracts. St. Petersburg : Graduate School of Management, St. Petersburg University. Graduate School of Management, St. Petersburg University, 2018.: St. Petersburg: Graduate School of Management, St. Petersburg University, 2018..
Added: October 10, 2018
The interplay of corruption and innovation in emerging economies
Trubnikov Dmitrii, Trubnikova Ekaterina, , in: GSOM Emerging Markets Conference 2018: Book of Abstracts. St. Petersburg : Graduate School of Management, St. Petersburg University. Graduate School of Management, St. Petersburg University, 2018.: St. Petersburg: Graduate School of Management, St. Petersburg University, 2018. P. 418–419.
The paper analyses effects of corruption on innovative activities. It argues that despite corruption is traditionally considered as a highly negative phenomenon, it may have a positive effect on innovation. This position allows to explain why developing countries with a high level of corruption sometimes demonstrate better indicators of innovative activity in particular areas than ...
Added: October 15, 2019
Language: English
Text on another site
Keywords: emerging markets conference
GSOM Emerging Markets Conference 2018: Book of Abstracts. St. Petersburg : Graduate School of Management, St. Petersburg University. Graduate School of Management, St. Petersburg University, 2018.
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