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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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India’s Purchase of the S-400: Understanding the CAATSA Conundrum

Observer Research Foundation. 2021. No. 129. P. 2–22.
Parpiani K., Kapoor N., Singh A.

This special report offers a comprehensive view of the issues involved in the debate around the purchase of the S-400, and the threat of CAATSA sanctions. The report examines the rationale behind India’s choice of the S-400 and outlines the legacy of India-Russia defence ties while acknowledging the challenges posed by CAATSA to this bilateral engagement. It underscores the ever-present spectre of CAATSA sanctions against India, owing to the continued utility of the legislation in US President Joe Biden’s foreign policy.

Research target: Political Science, International Relations, and Public Administration
Language: English
Text on another site
Keywords: India-Russia
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