Verlag: Indian Books & Periodicals Syndicate
ISBN 10: 8174671269 ISBN 13: 9788174671264
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Verlag: Indian Books & Periodicals Syndicate
ISBN 10: 8174671269 ISBN 13: 9788174671264
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. xxi + 161 1st Edition.
Verlag: Indian Books & Periodicals Syndicate
ISBN 10: 8174671269 ISBN 13: 9788174671264
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In den WarenkorbPaperback. Zustand: Brand New. 440 pages. 9.25x7.50 inches. In Stock.
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, 2026
ISBN 10: 0443441111 ISBN 13: 9780443441110
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Erstausgabe
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In den WarenkorbZustand: New. 2026. 1st Edition. hardcover. . . . . .
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Paperback. Zustand: new. Paperback. Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 unites data science, machine learning, IIOT, and AI to enable predictive and prescriptive maintenance across manufacturing, energy, transportation, agriculture, and healthcare. With contributions from leading academics and practitioners, the book bridges foundational principles with cutting-edge industrial case studies ranging from digital twins and anomaly detection to federated learning and secure healthcare analytics. Key Features: -Explains fundamental concepts of data analytics, AI, and machine learning for predictive maintenance. -Integrates IIoT, digital twins, federated learning, and blockchain into industrial maintenance strategies. -Demonstrates real-world applications across manufacturing, energy, healthcare, and agriculture sectors. -Analyzes optimization techniques, anomaly detection, condition monitoring, and RUL prediction models. -Addresses security and ethical issues, including hardware protection and homomorphic encryption for healthcare. -Maps future trends and emerging technologies driving predictive maintenance research. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 102,41
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
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In den WarenkorbPaperback. Zustand: new. Paperback. Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 unites data science, machine learning, IIOT, and AI to enable predictive and prescriptive maintenance across manufacturing, energy, transportation, agriculture, and healthcare. With contributions from leading academics and practitioners, the book bridges foundational principles with cutting-edge industrial case studies ranging from digital twins and anomaly detection to federated learning and secure healthcare analytics. Key Features: -Explains fundamental concepts of data analytics, AI, and machine learning for predictive maintenance. -Integrates IIoT, digital twins, federated learning, and blockchain into industrial maintenance strategies. -Demonstrates real-world applications across manufacturing, energy, healthcare, and agriculture sectors. -Analyzes optimization techniques, anomaly detection, condition monitoring, and RUL prediction models. -Addresses security and ethical issues, including hardware protection and homomorphic encryption for healthcare. -Maps future trends and emerging technologies driving predictive maintenance research. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 225,27
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. The integration of blockchain and Internet of Things (IoT) drone technology revolutionizes surveillance systems by enhancing security, transparency, and data privacy. As drones become more advanced, they generate real-time data that require secure management. Blockchain technology offers a decentralized framework to store, share, and authenticate this data, reducing risks of tampering and unauthorized access. Further exploration into how combining blockchain with IoT-enabled drones can transform surveillance operations across sectors, may help pave the way for more reliable and intelligent security solutions. Enhancing Surveillance With Blockchain and IoT Drone Technology explores the integration of blockchain and IoT drone technology for security surveillance applications. It offers new insights, perspectives, and case studies spanning theoretical foundations to real-world implementations in the surveillance field. This book covers topics such as computer vision, threat detection, and transportation technology, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.