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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.
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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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The statistical structure of the field of surface soil layer moisture from ground-based and satellite observations

Russian Meteorology and Hydrology. 2017. No. 6. P. 403–414.
Gordin V. A., Bykov P. L., Tarasova L. L., Vasilenko E. V.

The archives of measurements at a network of stations of Roshydromet stocks of available water capacity and satellite measurements of relative soil moisture topsoil according with the instrument ASCAT (MetOp satellites) were used. The estimation of the statistical structure of the fields of available water capacity in the upper 10- and 20-cm soil layers, correlations were found between the data of remote sensing (RS) data and agrometeorological stations. Developed procedure for automated pre-control ground-based measurements. The algorithm is statistically optimal transform of remote sensing data in estimating the amount of moisture in the upper soil layer.

Research target: Earth Sciences Biology Mathematics
Priority areas: IT and mathematics
Language: English
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Keywords: положительная определенностькорреляционная функцияRemote Sensingcorrelation functionдистанционное зондирование Землиsoil moistureavailable water capacityoptimal interpolationpositive certaintycontrol dimensionsвлажность почвызапасы продуктивной влагиоптимальная интерполяцияконтроль измерений
Publication based on the results of:
Дифференциальные и интегро-дифференциальные уравнения. Включение больших массивов статистической информации. Модели. Аналитические и вычислительные подходы (2016)
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