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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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Методические подходы к аудиту и контроллингу логистической деятельности

Логистика и управление цепями поставок. 2014. № 3. С. 9–26.
Sergeyev V.

The paper covers methodology and methodological approaches to research of controlling of logistics activities in Russian companies. Investigation stages of controlling are specified, and original sample of respondents which consists of companies of different economic areas is described. Methodology of logistic controlling research is based on system and operational analysis, methods of economic cybernetics, mathematical statistics, theory of optimal decision making, management theory. Methodology and methodological principles of the study includes three interrelated phases. One of the main objectives of the study is to test hypothesis about the correlation between business performance and logistics indicators. Examining each hypothesis serious of statistics data is considered, summarized in tables in the line of the essence of hypotheses.

Priority areas: management
Language: Russian
Full text
Keywords: логистикаметодологияlogisticscontrollingконтроллинглогистическая стратегияmethodologyстатическая гипотеза
Publication based on the results of:
Исследование логистического контроллинга на российских предприятиях (2013)
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