Data-Driven Cyber Physical Systems
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Beschreibung
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.
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.
Comprehensive coverage of data-driven methodologies in DDCPS, including real-world applications in various industries Features illustrations, tables, and case studies to connect theory and practice, boosting reader understanding Covers cutting-edge technologies like AI, ML, edge computing, and blockchain, with insights on future trends
Autor*in
Fangyu Li
Themen in »Data-Driven Cyber Physical Systems«
Data-driven cyber-physical systems data acquisition data storage and management data integration and fusion modeling and simulation fault detection predictive maintenance cybersecurity machine learning artificial intelligence