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May 25, 2026
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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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?

Five Constraints For E-Morality

P. 41–44.
Lisanyuk E., Perova N.

The development of e-justice and implementation of institution-based procedures for the resolution of ethical conflicts open a perspective of e-morality, both as a separate field, and as a tool of eliminating the digital divide, created by e-justice. We observe five restrictions for organizing future automated emorality analogously to contemporary automation of e-justice and explain why these constraints are strong reservations against the analogy between them. The two logical constraints are incompleteness of the ethical normative systems and absolute character of the moral norms, definitions and principles, which they consist of. The deliberative constraints follow out of these logical ones and amount to the descriptive character and restrictive scope of the decisions that could have been justified by e-morality as well as to the vagueness of the subsumption of the individual actions under the generic ethical norms. We illustrate these five constraints with the help of legal and ethical cases reconstructed on the basis of real conflicts.

Language: English
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Keywords: normsnormative systemse-Justiceethical conflicts

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2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 12-13 May 2025
IEEE, 2025.
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