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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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Этапы проектирования перспективных радиолокационных станций в специализированной САПР

Вестник воздушно-космической обороны. 2020. Т. 28. № 4. С. 111–118.
Коновальчик А. П., Конопелькин М. Ю., Shiriy A., Арутюнян А. А.

The article is devoted to the design stages in the developed domestic computer-aided design (CAD) system of radar stations (radar), complexes and systems. The concept of design in CAD is presented, which includes three levels of radar presentation: system, functional and structural-constructive. The CAD toolkit is considered. The route of radar design is described, which consists of the following main stages: the stage of preliminary estimation of the radar parameters, the stage of simulation modeling, the stage of technical and economic analysis of the radar variant, the stage of optimization. It is shown that the main result of CAD design is a variety of radar variants that are optimal in terms of the criterion of the "efficiency-cost" type.

Research target: Computer Science Electronics and Electrical Engineering
Language: Russian
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Keywords: радиолокационная станцияСАПРдискретное имитационное моделированиемоделирование боевых действий
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