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Da: California Books, Miami, FL, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,14
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Condizione: New. pages cm First edition Includes bibliographical references and index.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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EUR 74,95
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 67,75
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 75,33
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Da: Revaluation Books, Exeter, Regno Unito
EUR 92,78
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Aggiungi al carrelloPaperback. Condizione: Brand New. 204 pages. 9.18x6.12x9.21 inches. In Stock.
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EUR 82,75
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032171545 ISBN 13: 9781032171548
Da: CitiRetail, Stevenage, Regno Unito
EUR 58,15
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity.This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities.Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers.Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturingOffers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformationDiscusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposureCovers the effects that the 4th Industrial Revolution has on industrial infrastructuresLooks at industry change patterns and innovations that are speeding up industrial transformation activities This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: preigu, Osnabrück, Germania
EUR 81,95
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing | Theoretical Basics, Applications, and Challenges | Om Prakash Jena (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032171548 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 96,32
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity.