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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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Decision support system for light petroleum products supply chain

Operational Research. 2019. Vol. 19. P. 219–236.
Gromov V., Kuznietsov K., Pigden T.

This paper describes a decision support system that has been developed to manage petroleum deliveries from a bulk terminal to petrol stations using a fleet of petrol tanker trucks. The problem is defined as a petrol station replenishment problem with customer demands determined using a prediction algorithms based on time series of daily sales. The DSS employs a user-defined road network as the underlying transport to meet governmental hazardous goods transport regulations. The system was implemented and has been in operation for over 18 months. Delivery costs per litre delivered have decreased 15% in comparison with those of previous years.

Research target: Computer Science Mathematics Economics and Management
Priority areas: management IT and mathematics business informatics mathematics
Language: English
Full text
DOI
Text on another site
Keywords: logistics heuristicsdeveloping countries of the worldDecision support systems
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