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Features of the synthesis of information and measurement systems using machine learning for conducting of environmental monitoring
The article is dedicated to the consideration of new methods for the synthesis of digital environmental monitoring systems, inclusive to the analysis through the methodology of machine learning. The role of circuit components proposed for implementation is considered. Attention is paid to the specif...
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Published in: | Journal of physics. Conference series 2021-04, Vol.1889 (3), p.32008 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The article is dedicated to the consideration of new methods for the synthesis of digital environmental monitoring systems, inclusive to the analysis through the methodology of machine learning. The role of circuit components proposed for implementation is considered. Attention is paid to the specifics of the analysis of already measured data and to the memory device of information-measuring systems. The importance of using MS-triggers and logistic regression in analysis of the stability of sensors is justified. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/1889/3/032008 |