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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Language: English
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Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
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Hardback. Condition: 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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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839531207 ISBN 13: 9781839531200
Language: English
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ISBN 10: 1839531207 ISBN 13: 9781839531200
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Published by Academic Press 2022-02-15, 2022
ISBN 10: 0323905927 ISBN 13: 9780323905923
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Published by Elsevier Science & Technology, Oxford, 2022
ISBN 10: 0323905927 ISBN 13: 9780323905923
Language: English
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Paperback. Condition: 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.
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ISBN 10: 0323905927 ISBN 13: 9780323905923
Language: English
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Add to basketPaperback. Condition: Brand New. 480 pages. 9.00x7.25x1.00 inches. In Stock.