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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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Seeing” God in Alexandrian Exegesis of the Bible: From Aristobulos to Philo

P. 63–86.
Matusova Ekaterina

The article explains how late Platonic philosophy crosses over with the parabiblical Qumranic background in the writings of Philo of Alexandria. Specifically, it focuses on the theme of knowledge of God.

Language: English
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Keywords: ПлотинneoplatonismнеоплатонизмPlotinusPhilo of AlexandriaФилон АлександрийскийQumranКумран

In book

Gottesschau-Gotteserkenntnis
Matusova E. Vol. 387. , Tübingen: Mohr Siebeck, 2017.
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