Cyber-physical systems = data scienc...
Kravets, Alla G.

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  • Cyber-physical systems = data science, modelling and software optimization /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Cyber-physical systems/ by Alla G. Kravets ; edited by Alexander A. Bolshakov.
    Reminder of title: data science, modelling and software optimization /
    Author: Kravets, Alla G.
    other author: Bolshakov, Alexander A.
    Published: Cham :Springer Nature Switzerland : : 2024.,
    Description: viii, 231 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 1.Industrial Cyber-physical systems: control problems and solutions.A Bibliometric Analysis Approach -- 2.Methods and technologies for streaming primary processing and analysis of big data from multi-assortment production for predicting polymeric film quality -- 3.Patent array analysis using a combination of ClickHouse and HDFS -- 4.Using patient medical description to expand the feature space in the cyber-physical breast cancer identification system -- 5.A comparison of feature extraction models for images with multiple annotations -- 6.Development of a knowledge base for the assessment of the threats of a road accident during the operation of a driving car -- 7.Modeling the operation of a digital twin of a conveyor line -- 8.Simulation of Agricultural Unmanned Vehicle System during a Virtual Commissioning -- 9.A model of flexibility of administrative documents used in technologies for entry of documents into a computer -- 10.Mathematical modeling of electrolysis technology for hydrogen production and process control -- 11.Modeling of hydroelastic vibrations of the channel wall on a foundation with softening nonlinearity for predicting the wall response of the channel wall -- 12.Optimization of Heterogeneous Cargo Transportation Using UAVs with Different Priority Schemes for Delivery Tasks -- 13.Intelligent Distribution Electrical Grid Section Efficiency Analysis -- 14.The new method for automatic vectorization efficiency increasing -- 15.Efficient selection of stochastic parameters of parallel population algorithms and their impact on the quality of the solution -- 16.Genetic Quantum Algorithms with Binary Observation.
    Contained By: Springer Nature eBook
    Subject: Cooperating objects (Computer systems) -
    Online resource: https://doi.org/10.1007/978-3-031-67685-7
    ISBN: 9783031676857
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