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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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Measuring Well-Being in School and University: Approaches and Challenges

Ch. 14.
Tatjana Kanonire, Alena Kulikova, Ekaterina Orel

Measurement of students’ well-being has become a significant issue as the paradigm of education outcomes has switched from just academic achievement to a holistic personal development. Nowadays different approaches to assess and to describe well-being in different age groups and contexts exist. All of them have some strengths and limitations that will be discussed in the following chapter. There are some major challenges that researchers and practitioners are facing: the amount of information that could be provided by existing instruments, the possibility to compare results in well-being dynamics, and the ways of presenting results to the participants and institutions for practice improvement. Addressing these approaches and challenges, we are going to discuss international research and practices as well as our own experience of well-being large-scale assessment. Some decisions for research and practice will be provided.

Language: English
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Keywords: measurementstudentsfeedbacksubjective well-being

In book

Happiness and Wellness - Biopsychosocial and Anthropological Perspectives
IntechOpen, 2023.
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