Intelligent Technologies for Internet of Vehicles /

This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Magaia, Naercio (Editor), Mastorakis, George (Editor), Mavromoustakis, Constandinos (Editor), Pallis, Evangelos (Editor), Markakis, Evangelos K. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Internet of Things, Technology, Communications and Computing,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.
Physical Description:1 online resource (XV, 511 pages 183 illustrations, 132 illustrations in color.)
ISBN:9783030764937
ISSN:2199-1081
DOI:10.1007/978-3-030-76493-7