dictator 发表于 2025-3-26 21:13:25

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arthroplasty 发表于 2025-3-27 02:28:51

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.

headway 发表于 2025-3-27 06:19:22

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HUMP 发表于 2025-3-27 13:11:38

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Soliloquy 发表于 2025-3-27 14:07:55

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.

colony 发表于 2025-3-27 18:55:17

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PLIC 发表于 2025-3-27 23:22:30

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.

亚麻制品 发表于 2025-3-28 03:21:36

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escalate 发表于 2025-3-28 09:23:11

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ETHER 发表于 2025-3-28 14:07:51

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