國立虎尾科技大學 |

Data-driven cyber physical systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data-driven cyber physical systems/ by Fangyu Li, Xiaolong Wu, Honggui Han.
作者:	Li, Fangyu.
其他作者:	Wu, Xiaolong.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxi, 338 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Cooperating objects (Computer systems) -
電子資源:	https://doi.org/10.1007/978-981-96-8709-1
ISBN:	9789819687091

Data-driven cyber physical systems
Li, Fangyu.

Data-driven cyber physical systems[electronic resource] /by Fangyu Li, Xiaolong Wu, Honggui Han. - Singapore :Springer Nature Singapore :2025. - xxi, 338 p. :ill., digital ;24 cm.

Introduction to Data driven Cyber Physical Systems -- Fundamentals of Data driven Cyber Physical Systems -- Data Collection in Cyber Physical Systems -- Data Storage and Management in Cyber Physical Systems -- Data Integration and Fusion in Cyber Physical Systems -- Data driven Modeling and Simulation in Cyber Physical Systems -- Fault Detection and Predictive Maintenance in Cyber Physical Systems -- Cybersecurity in Data driven Cyber Physical System -- Future of Data driven Cyber Physical System.

This book shows the exploration and integration of data-driven approaches within cyber-physical systems (CPS), focusing on how these systems leverage data science, artificial intelligence, and machine learning to enhance performance, optimize real-time decision-making, and improve the interaction between physical and digital components. Readers will be interested in the areas of data acquisition, integration, storage, modeling, simulation, fault detection, predictive maintenance, and cybersecurity. Because these topics highlight how data-driven approaches and advanced technologies can be applied to optimize system performance, enhance real-time decision-making, and ensure the safety and reliability of DDCPS. Additionally, practical applications across various industries demonstrate the real-world impact. The inclusion of real-world examples and practical applications helps bridge the gap between theory and practice, making the content highly relevant for professionals and researchers. Additionally, the book covers emerging trends and technologies, offering readers insights into the future of DDCPS. Readers will gain a comprehensive understanding of how to leverage data-driven approaches to enhance the performance and reliability of DDCPS.

ISBN: 9789819687091

Standard No.: 10.1007/978-981-96-8709-1doiSubjects--Topical Terms:

1020492
Cooperating objects (Computer systems)

LC Class. No.: TK5103.2

Dewey Class. No.: 621.38

Data-driven cyber physical systems
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505 0 $a Introduction to Data driven Cyber Physical Systems -- Fundamentals of Data driven Cyber Physical Systems -- Data Collection in Cyber Physical Systems -- Data Storage and Management in Cyber Physical Systems -- Data Integration and Fusion in Cyber Physical Systems -- Data driven Modeling and Simulation in Cyber Physical Systems -- Fault Detection and Predictive Maintenance in Cyber Physical Systems -- Cybersecurity in Data driven Cyber Physical System -- Future of Data driven Cyber Physical System.
520 $a This book shows the exploration and integration of data-driven approaches within cyber-physical systems (CPS), focusing on how these systems leverage data science, artificial intelligence, and machine learning to enhance performance, optimize real-time decision-making, and improve the interaction between physical and digital components. Readers will be interested in the areas of data acquisition, integration, storage, modeling, simulation, fault detection, predictive maintenance, and cybersecurity. Because these topics highlight how data-driven approaches and advanced technologies can be applied to optimize system performance, enhance real-time decision-making, and ensure the safety and reliability of DDCPS. Additionally, practical applications across various industries demonstrate the real-world impact. The inclusion of real-world examples and practical applications helps bridge the gap between theory and practice, making the content highly relevant for professionals and researchers. Additionally, the book covers emerging trends and technologies, offering readers insights into the future of DDCPS. Readers will gain a comprehensive understanding of how to leverage data-driven approaches to enhance the performance and reliability of DDCPS.
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