Titlebook: Cyber-Physical Systems; Digital Technologies Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Sh Book 2021 The Editor(s) (if applicable) and

dictator

arthroplasty

Esophagus: Functional/Motility Abnormalitiesonality. The correctness of algorithms work was estimated on a test sample, the method of extraction of technical functions showed the following criteria: precision—0.87, recall—0.77, F—0.82, the method of search of physical effect description showed precision—0.92.

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HUMP

Soliloquy

https://doi.org/10.1007/978-3-662-39704-6physics-based models and machine learning models allows predicting the occurrence of malfunctions and predicting internal parameters of subsystems influencing the gas turbine plant’s technical health. The proposed methodology was implemented as a special software system, and it was tested on the field data from mobile gas turbine plants.

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PLIC

https://doi.org/10.1007/978-3-642-69619-0nalyzed for more accurate and faster forecasting. A module for predictive modeling of trends in technological development is developed, algorithms for the module for predictive modeling of trends in technological development are described.

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ETHER