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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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Влияние цифровизации на процессы организации и функционирования логистических систем

Логистика и управление цепями поставок. 2018. № 5. С. 29–37.
Nikolaevskiy N., Grigorev M.

The results of the information technologies intensive development and implementation processes, recently defined as digitalization, were the basis of the significant changes in the domestic economy. At the same time, it is important to understand that digitalization process require an appropriate response in order to create an environment, which promote to development of strategically valuable economic sectors, include the industrial manufacturing. These circumstances determined the motivation of implementing at the state level such programs as the Digital Economy and the National Technological Initiative, that are aimed at creating conditions for the development of industry in the context of the digitalization.

Focusing on the logistics systems and industrial enterprise supply chains functioning processes, it is important to note, that new opportunities are opened due to development and implementation of information technologies in the economy digitalization context. These opportunities consist in the exchange of information between the individual production, logistics and auxiliary systems and their elements, as well as the products and the external environment, which in general will allow forming big data sets. Herewith, the result of processing the relevant data sets will form basis of the continuous improvement processes through self-organization and self-decision by the active system components.

At the initial stages of the study, a literature overview was done in the field of logistics system organizing within the contemporary concepts of industrial production development, including the Industry 4.0 concept. This has shown that on the one hand, there is a significant impact of digitalization processes on the organization and functioning of logistics system, but on the other hand, there is a lack of methodological developments in the area of these systems design.

For this reason, it is important to investigate the development of instruments for justification of logistics processes functioning characteristics within digitalization context. For this, a generalized structure of the digital logistics system was offered and the requirements for the functioning processes were determined. Taking into account a special aspects of this structure and functioning requirements, we offered to use simulation modeling tools in the organizational design problems. It is proposed to use traditional paradigms of simulation, which include discrete-event and agent-based modelling. On a separate note the possibility of applying the approach at the junction of these two paradigms, which implying the use of their main advantages: using the discrete-event modeling in the simulation of functioning process where the logistics system is describes as the multi-agent environment.

Research target: Natural Sciences Engineering and Technology
Priority areas: economics management IT and mathematics
Language: Russian
Text on another site
Keywords: имитационное моделированиеmulti-agent systemsдискретно-событийное моделированиеsimulation modellingdigital logistics systemcyber-physical logistics systemdiscrete-event modellingцифровая логистическая системакибер-физическая логистическая системамульти-агентные системы
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