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Elektronika: Nauka, Tekhnologiya, Biznes
ISSN 1992-4178 (Print) ISSN 1992-4186 (Online)
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Keywords CAD RISC-V architecture artificial intelligence dynamic range electronic components frequency range import substitution information and measurement system insertion loss interface metal-ceramic package microcontroller power printed circuit board printed circuit boards reliability robotics roundness tester switch testing vector network analyzer
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Keywords CAD RISC-V architecture artificial intelligence dynamic range electronic components frequency range import substitution information and measurement system insertion loss interface metal-ceramic package microcontroller power printed circuit board printed circuit boards reliability robotics roundness tester switch testing vector network analyzer
Home > Search > Author Details

Author Details

Янов, Е.

Issue Section Title File
No 6 (2024) Digital manufacturing On the problems of integrating information and measurement systems in the context of countering cyber attacks
No 7 (2024) Digital manufacturing Creating a digital twin of the production process based on an information and measurement system for indirect vibration control
No 8 (2024) Training & Education Tula State University trains new generation of engineers
No 9 (2024) Digital manufacturing Mathematical model of the information and measurement system for indirect control of the state of technological systems
No 9 (2024) Digital manufacturing Equipment power data as an additional source of information for the information and measurement system
No 2 (2025) Production engineering and management Social and psychological aspects of the implementation of technological equipment monitoring systems and their impact on improving the efficiency of machine-building enterprises
No 3 (2025) Training & Education Formation of a new generation of engineers at the Tula engineering school – a solution to personnel problems for enterprises of the military-industrial complex
No 8 (2025) Reliability and validation Vibration diagnostics and predictive analytics in fuel and energy equipment lifecycle management
 

 

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