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

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發(fā)表于 2025-3-21 19:23:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Cyber-Physical Systems
副標(biāo)題Digital Technologies
編輯Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Sh
視頻videohttp://file.papertrans.cn/242/241807/241807.mp4
概述Dwells with cyber-physical systems’ progress and defines digital tools eventually broaden the scope of application domains of such systems.Substantiates the scientific, practical, and methodological a
叢書(shū)名稱(chēng)Studies in Systems, Decision and Control
圖書(shū)封面Titlebook: Cyber-Physical Systems; Digital Technologies Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Sh Book 2021 The Editor(s) (if applicable) and
描述.This book offers ideas to help improve digital technologies and increase their efficiency during implementation and application for researchers and practitioners.?.The outstanding position of the book among others?is that it dwells with cyber-physical systems’ progress and proposes ideas and finding around digital tools and technologies and their application. A distinguished contribution is in presenting results on Digital Twins development and application, enhancing approaches of communication and information transferring between cyber-physical systems connected within the Internet of things platforms, computer linguistic as a part of cyber-physical systems, intelligent cybersecurity and computer vision systems.?.The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of manufacturing and industry who?are interested in creating and implementing of cyber-physical systems in framework of digitalization projects.?.
出版日期Book 2021
關(guān)鍵詞Cyber-Physical Systems; Digital Twins; IoT; Computer Linguistic; Computer Vision; Cybersecurity; Digital T
版次1
doihttps://doi.org/10.1007/978-3-030-67892-0
isbn_softcover978-3-030-67894-4
isbn_ebook978-3-030-67892-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書(shū)目名稱(chēng)Cyber-Physical Systems影響因子(影響力)




書(shū)目名稱(chēng)Cyber-Physical Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Cyber-Physical Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Cyber-Physical Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Cyber-Physical Systems被引頻次




書(shū)目名稱(chēng)Cyber-Physical Systems被引頻次學(xué)科排名




書(shū)目名稱(chēng)Cyber-Physical Systems年度引用




書(shū)目名稱(chēng)Cyber-Physical Systems年度引用學(xué)科排名




書(shū)目名稱(chēng)Cyber-Physical Systems讀者反饋




書(shū)目名稱(chēng)Cyber-Physical Systems讀者反饋學(xué)科排名




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Role of Simulation in the Development of a Digital Twin of a Food Itemem, which includes the whole variety of factors (physical and chemical, functional and technological, structural, and mechanical) is a “digital model” of such item. The example of creating a functional product in the form of a sausage product shows the stages of forming the model. At the first stage
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Automation of Assembly Batches Installation in Hot Rolling Millsormation of assembly batches at a hot rolling mill based on the genetic algorithm considering technological restrictions imposed on the production process. The optimization of the set of assembly batches consists of the construction of a set with maximum productivity, which is achieved by reducing t
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Identification of a Technological Process with Application of Neural Network Modelingobject and a control system is considered. The conceptual scheme is based on the hidden information potential of the cyber-physical system, which consists of the data on its functioning registered during operation. Neural network technology allows us to realize this potential, using the accumulated
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Forecasting the Future State of a Dynamic System by a Neural Network as a Task for a Cyber-Physical mple of a nonlinear dynamic system with unknown environmental parameters as one of the tasks of the cyber-physical system are considered. The experiment uses a layered network structure with a teacher, an “anti-rotation” learning optimization algorithm, neurons with sigmoid nonlinearity, a fully con
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Predicting Research Trend Based on Bibliometric Analysis and Paper Ranking Algorithmtific papers hold significant indication about the dynamics included in the development of science; signs that may help predict the growth and decline of scientific methods, ideas, and even fields. The research presented in this paper focuses on a general approach to analyze and predict the thematic
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