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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
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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Обоснование облика перспективных радиолокационных станций посредством разрабатываемой отечественной системы автоматизированного проектирования

Наукоемкие технологии в космических исследованиях Земли. 2019. Т. 11. № 1. С. 4–11.
Shiriy A., Коновальчик А. П., Плаксенко О. А.
In press

The article is devoted to the development of the system of computer-aided design of radar and radar systems. The feature of the developed design system is most expressed in taking into account the scenarios of using the designed product in the conditions of specific means of aerospace attack and defense, which in combination with other functionality allows to justify the appearance of promising radar systems (complexes, stations). The paper presents the concept of five levels of design (system, structural, logical, circuit, technological levels) and the basic requirements for the implementation of this concept; describes the editor of the radio scene places to the system level of design. The developed system also includes a module for preliminary assessment of radar parameters, designed to calculate and evaluate the main tactical and technical characteristics of the designed radar at the stage of preliminary (sketch-technical) design. Since most radar characteristics are interrelated, the improvement of some may lead to the deterioration of others. The basis of the module of the preliminary assessment on simplified computational method that does not require time-consuming calculations. The obtained preliminary estimates are the source data for more accurate calculations and modeling, and allow you to avoid setting meaningless or unattainable source parameters. The article presents the details of the implementation of simulation. Our system supports two simulation schemes: at the system and structural levels - according to a discrete-event scheme, and at the logical level - according to a step-by-step scheme. Step-by-step scheme has such advantages as simplicity and clarity, it is convenient to simulate processing algorithms, components of the radar, and even some simple types of radar. However, it is impossible to correctly simulate it, for example, a radar with parallel signal processing at different frequencies. Moreover, it is extremely limited opportunities for modeling groups of troops and military operations. Therefore, during simulation, two schedulers function: a “high-level” discrete-event dispatcher and a “low-level” step-by-step dispatcher. The discrete-event dispatcher interacts with the step-by-step scheduler each time it calculates the next event block of one of the two upper levels. During the simulation, the quality indicators of the radar station are calculated. In this case, the stage of simulation modeling serves to verify and refine the parameters of the designed radar, the appearance of which is defined in general form at the stages of preliminary assessment of parameters and engineering analysis.

Research target: Computer Science Electronics and Electrical Engineering
Language: Russian
Full text
DOI
Keywords: радиолокационная станцияСАПРдискретное имитационное моделирование
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