Deepa Jose (27 results)

Language: English
Published by CRC Press, 2026
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Language: English
Published by CRC Press, 2026
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Language: English
Published by CRC Press, 2026
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Language: English
Published by CRC Press, 2026
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Language: English
Published by CRC Press, 2026
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Language: English
Published by CRC Press, 2024
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hardcover. Condition: Fine.

Language: English
Published by Taylor & Francis Ltd, 2026
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Paperback. Condition: Brand New. 402 pages. 6.14x0.86x9.21 inches. In Stock.

Language: English
Published by CRC Press, 2026
- Softcover
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Condition: New. Dr. Deepa Jose works as Head of Department of Sponsored Research and Consultancy and Professor of ECE at KCG College of Technology, Chennai, India, and is an IEEE Senior Member and IEEE Women in Engineering Chair. She has done various ou.

Language: English
Published by Taylor & Francis Ltd Jun 2026, 2026
- Softcover
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Taschenbuch. Condition: Neu. Neuware - The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven Io…T systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.

Ai-driven Iot Systems for Industry 4.0
Jose, Deepa (EDT); Nanjundan, Preethi (EDT); Paul, Sanchita (EDT); Mohanty, Sachi Nandan (EDT)
Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Ai-driven Iot Systems for Industry 4.0
Jose, Deepa (EDT); Nanjundan, Preethi (EDT); Paul, Sanchita (EDT); Mohanty, Sachi Nandan (EDT)
Language: English
Published by CRC Press, 2024
- Hardcover
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Ai-driven Iot Systems for Industry 4.0
Jose, Deepa (EDT); Nanjundan, Preethi (EDT); Paul, Sanchita (EDT); Mohanty, Sachi Nandan (EDT)
Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by CRC Press, 2024
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Condition: New. 1st edition NO-PA16APR2015-KAP.

Ai-driven Iot Systems for Industry 4.0
Jose, Deepa (EDT); Nanjundan, Preethi (EDT); Paul, Sanchita (EDT); Mohanty, Sachi Nandan (EDT)
Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by CRC Pr I Llc, 2024
- Hardcover
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Hardcover. Condition: Brand New. 416 pages. 9.19x6.13x9.21 inches. In Stock.

Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
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Paperback. Condition: new. Paperback. The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT… systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering. The purpose of this book is to discuss the trends and key drivers of Internet of Things and AI for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
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Paperback. Condition: new. Paperback. The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT… systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering. The purpose of this book is to discuss the trends and key drivers of Internet of Things and AI for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
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Paperback. Condition: new. Paperback. The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT… systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering. The purpose of this book is to discuss the trends and key drivers of Internet of Things and AI for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. 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.

Language: English
Published by CRC Press, 2024
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Deepa Jose works as Head of Department of Sponsored Research and Consultancy and Professor of ECE at KCG College of Technology, Chennai, India, and is an IEEE Senior Member and IEEE Women in Engineering Chair. She… has done various ou.

Language: English
Published by CRC Press Jul 2024, 2024
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forgin…g a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering. 420 pp. Englisch.

Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a m…ore reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.