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Autonomous and Connected Heavy Vehicle Technology (Paperback) Loot Price: R3,336
Discovery Miles 33 360
Autonomous and Connected Heavy Vehicle Technology (Paperback): Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill

Autonomous and Connected Heavy Vehicle Technology (Paperback)

Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill; Series edited by Fatos Xhafa

Series: Intelligent Data-Centric Systems

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Loot Price R3,336 Discovery Miles 33 360 | Repayment Terms: R313 pm x 12*

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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.

General

Imprint: Academic Press Inc
Country of origin: United Kingdom
Series: Intelligent Data-Centric Systems
Release date: 2022
First published: 2022
Editors: Rajalakshmi Krishnamurthi • Adarsh Kumar • Sukhpal Singh Gill
Series editors: Fatos Xhafa
Dimensions: 235 x 191 x 26mm (L x W x T)
Format: Paperback
Pages: 454
ISBN-13: 978-0-323-90592-3
Categories: Books > Professional & Technical > Transport technology > Automotive technology > General
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LSN: 0-323-90592-7
Barcode: 9780323905923

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