Cyber-Physical Systems Data Science, Modelling and Software Optimization /
This book is devoted to new approaches to modeling and design of cyber-physical systems. Nowadays, cyber-physical systems become widely used in different domains. Scientific society suggests new approaches to engineering and optimization of cyber-physical systems, however, there are still open quest...
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Searvvušdahkki: | |
| Eará dahkkit: | |
| Materiálatiipa: | Elektrovnnalaš E-girji |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
|
| Preanttus: | 1st ed. 2024. |
| Ráidu: | Studies in Systems, Decision and Control,
554 |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1007/978-3-031-67685-7 |
| Fáddágilkorat: |
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| 100 | 1 | |a Kravets, Alla G. |e author. |0 (orcid)0000-0003-1675-8652 |1 https://orcid.org/0000-0003-1675-8652 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Cyber-Physical Systems |h [electronic resource] : |b Data Science, Modelling and Software Optimization / |c by Alla G. Kravets ; edited by Alexander A. Bolshakov. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (VIII, 231 p. 75 illus.). |b 53 illus. in color. | ||
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| 490 | 1 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 554 | |
| 505 | 0 | |a 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. | |
| 520 | |a This book is devoted to new approaches to modeling and design of cyber-physical systems. Nowadays, cyber-physical systems become widely used in different domains. Scientific society suggests new approaches to engineering and optimization of cyber-physical systems, however, there are still open questions that need to be covered by research and development. It presents results and findings in the field of Data Science and digital twin engineering for cyber-physical systems. This book provides scientific, practical, and methodological approaches to modeling of complex processes for cyber-physical systems. The authors highlight essential results on software optimization in cyber-physical systems. The target audience of the book are practitioners, enterprise representatives, scientists, Ph.D., and master’s students who perform scientific research or applications of cyber-physical systems for various domains. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Cooperating objects (Computer systems). | |
| 650 | 0 | |a Engineering |x Data processing. | |
| 650 | 0 | |a Automation. | |
| 650 | 1 | 4 | |a Cyber-Physical Systems. |
| 650 | 2 | 4 | |a Data Engineering. |
| 650 | 2 | 4 | |a Automation. |
| 700 | 1 | |a Bolshakov, Alexander A. |e editor. |0 (orcid)0000-0001-7966-718X |1 https://orcid.org/0000-0001-7966-718X |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031676840 |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031676871 |
| 830 | 0 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 554 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-67685-7 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||