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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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The Impact of Object Immutability on the Java Class Size

P. 1868–1872.
Bugayenko Y., Zykov S. V.

According to the subjective opinions of many industry experts, object immutability is a virtue in object-oriented programming, since it leads to side-effect-free design, cleaner code, better concurrency, and many other factors. However, it has never been empirically demonstrated exactly how immutability affects quality metrics of object-oriented programs. In the following research, we analyzed 97508 classes from 240 public Java repositories to find out how immutability affects the size of the code.

Language: English
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Keywords: concurrencyobject-oriented programmingobject immutabilitycode quality

In book

Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020
Vol. 176. , Elsevier, 2020.
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