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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive exploration of AI-driven approaches to strengthening CPS security. Cyber-physical systems (CPSs) form the foundation of modern infrastructure, connecting physical processes with digital intelligence across domains such as health care, manufacturing, energy, and transportation. While CPS enables efficiency and innovation, their growing complexity also exposes them to significant cybersecurity risks. Artificial intelligence offers powerful solutions to these challenges, enabling intelligent monitoring, anomaly detection, intrusion prevention, and secure communication.Covering fundamentals, recent advances, and real-world applications, the chapters discuss threats, AI-enabled threat detection, anomaly detection in flexible manufacturing, machine learning for CPS resilience, and secure communication frameworks. Practical case studies further demonstrate the integration of AI in securing critical systems.With its interdisciplinary perspective, the book will benefit researchers, practitioners, and policymakers, offering insights into AI-based methods and future directions for creating intelligent, secure, and resilient CPS.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2026
ISBN 10: 3032096553 ISBN 13: 9783032096555
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Añadir al carritoPaperback. Condición: new. Paperback. Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032096553 ISBN 13: 9783032096555
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 240,68
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Añadir al carritoHardcover. Condición: new. Hardcover. This book provides a comprehensive exploration of AI-driven approaches to strengthening CPS security. Cyber-physical systems (CPSs) form the foundation of modern infrastructure, connecting physical processes with digital intelligence across domains such as health care, manufacturing, energy, and transportation. While CPS enables efficiency and innovation, their growing complexity also exposes them to significant cybersecurity risks. Artificial intelligence offers powerful solutions to these challenges, enabling intelligent monitoring, anomaly detection, intrusion prevention, and secure communication.Covering fundamentals, recent advances, and real-world applications, the chapters discuss threats, AI-enabled threat detection, anomaly detection in flexible manufacturing, machine learning for CPS resilience, and secure communication frameworks. Practical case studies further demonstrate the integration of AI in securing critical systems.With its interdisciplinary perspective, the book will benefit researchers, practitioners, and policymakers, offering insights into AI-based methods and future directions for creating intelligent, secure, and resilient CPS. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2026
ISBN 10: 3032096553 ISBN 13: 9783032096555
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 213,99
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive exploration of AI-driven approaches to strengthening CPS security. Cyber-physical systems (CPSs) form the foundation of modern infrastructure, connecting physical processes with digital intelligence across domains such as health care, manufacturing, energy, and transportation. While CPS enables efficiency and innovation, their growing complexity also exposes them to significant cybersecurity risks. Artificial intelligence offers powerful solutions to these challenges, enabling intelligent monitoring, anomaly detection, intrusion prevention, and secure communication.Covering fundamentals, recent advances, and real-world applications, the chapters discuss threats, AI-enabled threat detection, anomaly detection in flexible manufacturing, machine learning for CPS resilience, and secure communication frameworks. Practical case studies further demonstrate the integration of AI in securing critical systems.With its interdisciplinary perspective, the book will benefit researchers, practitioners, and policymakers, offering insights into AI-based methods and future directions for creating intelligent, secure, and resilient CPS. 277 pp. Englisch.
Librería: CitiRetail, Stevenage, Reino Unido
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Añadir al carritoHardcover. Condición: new. Hardcover. Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Springer, Springer International Publishing Feb 2026, 2026
ISBN 10: 3032096553 ISBN 13: 9783032096555
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 213,99
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive exploration of AI-driven approaches to strengthening CPS security. Cyber-physical systems (CPSs) form the foundation of modern infrastructure, connecting physical processes with digital intelligence across domains such as health care, manufacturing, energy, and transportation. While CPS enables efficiency and innovation, their growing complexity also exposes them to significant cybersecurity risks. Artificial intelligence offers powerful solutions to these challenges, enabling intelligent monitoring, anomaly detection, intrusion prevention, and secure communication.Covering fundamentals, recent advances, and real-world applications, the chapters discuss threats, AI-enabled threat detection, anomaly detection in flexible manufacturing, machine learning for CPS resilience, and secure communication frameworks. Practical case studies further demonstrate the integration of AI in securing critical systems.With its interdisciplinary perspective, the book will benefit researchers, practitioners, and policymakers, offering insights into AI-based methods and future directions for creating intelligent, secure, and resilient CPS.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.
Librería: preigu, Osnabrück, Alemania
EUR 205,40
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Añadir al carritoTaschenbuch. Condición: Neu. AI and Machine Learning Applications in Sports Analytics | Tanupriya Choudhury (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369353868 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032096553 ISBN 13: 9783032096555
Librería: CitiRetail, Stevenage, Reino Unido
EUR 240,41
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Añadir al carritoHardcover. Condición: new. Hardcover. This book provides a comprehensive exploration of AI-driven approaches to strengthening CPS security. Cyber-physical systems (CPSs) form the foundation of modern infrastructure, connecting physical processes with digital intelligence across domains such as health care, manufacturing, energy, and transportation. While CPS enables efficiency and innovation, their growing complexity also exposes them to significant cybersecurity risks. Artificial intelligence offers powerful solutions to these challenges, enabling intelligent monitoring, anomaly detection, intrusion prevention, and secure communication.Covering fundamentals, recent advances, and real-world applications, the chapters discuss threats, AI-enabled threat detection, anomaly detection in flexible manufacturing, machine learning for CPS resilience, and secure communication frameworks. Practical case studies further demonstrate the integration of AI in securing critical systems.With its interdisciplinary perspective, the book will benefit researchers, practitioners, and policymakers, offering insights into AI-based methods and future directions for creating intelligent, secure, and resilient CPS. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 294,40
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032096553 ISBN 13: 9783032096555
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 277,13
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Añadir al carritoHardcover. Condición: new. Hardcover. This book provides a comprehensive exploration of AI-driven approaches to strengthening CPS security. Cyber-physical systems (CPSs) form the foundation of modern infrastructure, connecting physical processes with digital intelligence across domains such as health care, manufacturing, energy, and transportation. While CPS enables efficiency and innovation, their growing complexity also exposes them to significant cybersecurity risks. Artificial intelligence offers powerful solutions to these challenges, enabling intelligent monitoring, anomaly detection, intrusion prevention, and secure communication.Covering fundamentals, recent advances, and real-world applications, the chapters discuss threats, AI-enabled threat detection, anomaly detection in flexible manufacturing, machine learning for CPS resilience, and secure communication frameworks. Practical case studies further demonstrate the integration of AI in securing critical systems.With its interdisciplinary perspective, the book will benefit researchers, practitioners, and policymakers, offering insights into AI-based methods and future directions for creating intelligent, secure, and resilient CPS. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 294,40
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Librería: preigu, Osnabrück, Alemania
EUR 246,60
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Añadir al carritoBuch. Condición: Neu. AI and Machine Learning Applications in Sports Analytics | Tanupriya Choudhury (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798369353851 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 294,64
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists.