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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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Modeling of a Waveguide Polarizer with a Wedge-Shaped Magnetic Wall

P. 1–5.
Mashkova M. A., A. A. Yelizarov, A. A. Skuridin, Karavashkina V. N., I. V. Nazarov

The significance of the polarization state of propagating electromagnetic waves is profound in domains such as radiolocation, radio and satellite communications, and related scientific and technological disciplines. The contemporary demand is for increasingly efficient waveguide polarizers with simplified structure and improved mass-dimensional characteristics. This study introduces a model for a waveguide polarizer employing a rectangular WR-284 waveguide section, within which is a wedge-shaped magnetic wall constituted of a mushroom-shaped metamaterial. Computational simulations provided radiation patterns from the open end of the waveguide structure across a frequency range spanning 400 MHz to 5 GHz, illustrating the change of the electromagnetic wave polarization based on the selected frequency.

Language: English
Full text
DOI
Keywords: polarizationrectangular waveguidemagnetic wallmushroom metamaterialwaveguide polarizer
Publication based on the results of:
Исследование технологий и устройств беспроводного трансфера электромагнитной энергии для высокоскоростных мобильных и нательных устройств Интернета вещей (IoT/IIoT) и киберфизических систем (2023)

In book

2023 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)
IEEE, 2023.
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