Published by Gullybaba Publishing House Pvt Ltd, 2020
ISBN 10: 9390479045 ISBN 13: 9789390479047
Language: English
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Published by Gullybaba Publishing House Pvt Ltd, 2020
ISBN 10: 9390479045 ISBN 13: 9789390479047
Language: English
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Published by Gullybaba Publishing House Pvt Ltd, 2020
ISBN 10: 9390479045 ISBN 13: 9789390479047
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by GULLYBABA PUBLISHING HOUSE PVT LTD, 2020
ISBN 10: 9390479045 ISBN 13: 9789390479047
Language: English
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Seller: Majestic Books, Hounslow, United Kingdom
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Published by GULLYBABA PUBLISHING HOUSE PVT LTD, 2020
ISBN 10: 9390479045 ISBN 13: 9789390479047
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pages cm First edition Includes bibliographical references and index.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367698404 ISBN 13: 9780367698409
Language: English
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Condition: New. Spring 5.0 brings major advancements in the rich APIs provided by the Spring framework and thus creates a need for developers to master its tools and techniques to achieve high-performing applications. This book will help you improve the speed of your code .
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367698390 ISBN 13: 9780367698393
Language: English
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 204.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 286 pages. 10.00x7.25x0.75 inches. In Stock.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367698404 ISBN 13: 9780367698409
Language: English
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Paperback. Condition: new. Paperback. Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.Key features:Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.surveys current trends and challenges in metaheuristics and industry 4.0.Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes. Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.