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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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Youth unemployment, labour productivity and the evolution of the labour markets in Europe

Ch. 3. P. 65–81.
Parisi M. L., Marelli E., Demidova O.

The size and persistence of youth unemployment has become unacceptable in some European countries, particularly in Southern Europe. Stagnation in labour productivity, on the other hand, goes back to the 1990s and even worsened after the burst of the crisis. A further evidence is that labour market reforms in many countries introduced, over the past twenty years, a set of newly designed job contracts that allowed the use of temporary work. We describe these phenomena and countries heterogeneity in four dimensions: labour productivity, youth unemployment, EPL (Employment Protection Legislation) and temporary work, and their dynamics.

Language: English
Full text
Keywords: youth unemploymentlabour marketslabor productivity

In book

Young people and the labour market
Routledge, 2018.
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