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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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Формирование комплекса показателей эффективности транспортировки в цепях поставок

Логистика и управление цепями поставок. 2018. № 3 (86). С. 55–65.
Strimovskaya A., Bazhina D.

Transport efficiency assessment today is an important issue of modern logistics management. According to the summarizing of different literature sources, transportation occupies the biggest part of total logistics costs. The challenge of designing efficiency transportation indices deserves special attention. Hereby some questions still need consideration, such as what an assessment system should look like? What issues should be considered while conducting analysis of transportation activity? Is there any complex of assessment
indices that could be proposed? The article attempts to answer all these and other questions of logistics management based on works of Russian and foreign researchers. The article will be useful for scientists and specialists dealing with efficiency assessment issues.

Priority areas: management
Language: Russian
Full text
Keywords: логистикаэффективностьтранспортировкацепь поставокefficiencyоценкаtransportationключевые показатели эффективностиvaluationcontrollingконтроллингsupply chains logisticskey performance indicators (KPI)
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