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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.
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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?

К вопросу о методологической основе антимонопольного комплаенса

С. 50–59.
Kornienko A., Москвитин О. А.
Language: Russian
Full text
Keywords: антимонопольные требованияантимонопольный комплаенс

In book

Современная конкуренция: состояние, проблемы и тренды развития
Ч. 1. , Издательство: УГНТУ, 2018.
Similar publications
Актуальные вопросы применения антимонопольного комплаенса в сфере недропользования
Елбаева Н. А., Крюков А. С., Москвитин О. А., Юрист 2024 № 3 С. 25–29
The market economy, which gives a certain freedom for entrepreneurial activity, at the same time dictates compliance with the established rules of competition, which are fraught with the risk of competition restrictions associated with antimonopoly violations, first of all, we are talking about the monopolization of the market, the creation of discriminatory conditions, etc. in ...
Added: March 20, 2024
Модель непрерывного улучшения процессов (PDCA) как возможная методологическая основа антимонопольного комплаенса
Kornienko A., Москвитин О. А., Berezgov A., Российское конкурентное право и экономика 2023 № № 1 (33) С. 68–79
The article is devoted to the questions of functioning of the system of antimonopoly com- pliance, its implementation in Russia. It is proposed to use the model of continuous pro- cess improvement — PDCA — as a possible methodological basis for the functioning of the antitrust compliance system. The authors conclude that the continuous process im- provement model ...
Added: March 29, 2023
Антимонопольный комплаенс в России: веление моды или необходимость?
Kornienko A., Российское конкурентное право и экономика 2017 № 2 С. 14–19
This article discusses a question of introduction of antitrust compliance in Russian competition law. Antitrust compliance represents an intracorporate program. It aims to enforce the antitrust law and to reduce the risk of antitrust violations occurring at all. Some of the largest companies implement the antitrust compliance on their own initiative. A number of other companies ...
Added: November 13, 2020
Антимонопольные требования к осуществлению предпринимательской деятельности
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В главе рассматриваются основные требования законодательства о защите конкуренции действующие в отношении субъектов предпринимательской деятельности. ...
Added: August 8, 2014
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