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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032666714 ISBN 13: 9781032666716
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare.This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge. By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032666714 ISBN 13: 9781032666716
Language: English
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032391715 ISBN 13: 9781032391717
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032666714 ISBN 13: 9781032666716
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare.This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge. By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Apple Academic Press, 2024
ISBN 10: 1774916428 ISBN 13: 9781774916421
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916428 ISBN 13: 9781774916421
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916428 ISBN 13: 9781774916421
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916428 ISBN 13: 9781774916421
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916428 ISBN 13: 9781774916421
Language: English
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