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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
'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?
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Computer Model of a Frequency-Selective Surface on Mushroom-Shaped Metamaterial

P. 1–4.
Yelizarov (Elizarov) A. A., Nazarov I., Skuridin A., Zakirova E.

This paper presents a computer model of a FSS based on mushroom-shaped metamaterial. The model is based on the calculation of equivalent distributed inductance and distributed capacitance of the unit cell of the surface according to its geometric dimensions. The computer model is realized as the “META” program based on MathCAD ver.15 software and provides an opportunity to investigate the dispersion characteristics of the frequency-selective surface of a “Maltese cross” mushroom-shaped metamaterial.

Language: English
Full text
DOI
Keywords: computational modelingmetamaterialsmagnetic materialssurface wavesOptical surface wavesSurface impedance Dispersion
Publication based on the results of:
Проектное исследование электродинамики волновых процессов в резонансных отрезках замедляющих систем и структурах с метаматериалами для совершенствования характеристик микроволновых частотно-селективных приборов и устройств (2019)

In book

SYNCHROINFO 2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications
IEEE, 2020.
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