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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 133,06
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 132,10
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 122,25
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Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. E-learning has become an important part of our educational life with the development of e-learning systems and platforms and the need for online and remote learning. ICT and computational intelligence techniques are being used to design more intelligent and adaptive systems. However, the art of designing good real-time e-learning systems is difficult as different aspects of learning need to be considered including challenges such as learning rates, involvement, knowledge, qualifications, as well as networking and security issues. The earlier concepts of standalone integrated virtual e-learning systems have been greatly enhanced with emerging technologies such as cloud computing, mobile computing, big data, Internet of Things (IoT), AI and machine learning, and AR/VT technologies. With this book, the editors and authors wish to help researchers, scholars, professionals, lecturers, instructors, developers, and designers understand the fundamental concepts, challenges, methodologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology.
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 139,85
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 136,73
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,48
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,94
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Da: Majestic Books, Hounslow, Regno Unito
EUR 151,40
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 149,00
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Da: Chiron Media, Wallingford, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
EUR 125,73
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Editore: Elsevier Science & Technology, Oxford, 2022
ISBN 10: 0323905927 ISBN 13: 9780323905923
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions.The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323905927 ISBN 13: 9780323905923
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 165,09
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 222.
Editore: Inst of Engineering & Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 169,62
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Aggiungi al carrelloHardcover. Condizione: Brand New. 332 pages. 9.25x6.25x0.75 inches. In Stock.
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 140,95
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Aggiungi al carrelloHardback. Condizione: New. E-learning has become an important part of our educational life with the development of e-learning systems and platforms and the need for online and remote learning. ICT and computational intelligence techniques are being used to design more intelligent and adaptive systems. However, the art of designing good real-time e-learning systems is difficult as different aspects of learning need to be considered including challenges such as learning rates, involvement, knowledge, qualifications, as well as networking and security issues. The earlier concepts of standalone integrated virtual e-learning systems have been greatly enhanced with emerging technologies such as cloud computing, mobile computing, big data, Internet of Things (IoT), AI and machine learning, and AR/VT technologies. With this book, the editors and authors wish to help researchers, scholars, professionals, lecturers, instructors, developers, and designers understand the fundamental concepts, challenges, methodologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology.
Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323905927 ISBN 13: 9780323905923
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 171,58
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2022. Paperback. . . . . .
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 172,23
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