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Intelligent Technologies for Internet of Vehicles [electronic resource] /

Contributor(s): Material type: TextTextSeries: Internet of Things, Technology, Communications and ComputingPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XV, 511 p. 183 illus., 132 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030764937
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.38 23
LOC classification:
  • TK7895.E42
  • TK5105.8857
Online resources:
Contents:
Introduction -- Introduction of AI and IoV -- Architectures and systems for AI and IoV convergence -- IoV with Machine Learning and Artificial Immune System technologies -- AI and IoV applications -- AI enabled IoV systems -- Performance Evaluation of Deep Learning and IoV-related mechanisms -- Conclusion.
In: Springer Nature eBookSummary: 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.
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Introduction -- Introduction of AI and IoV -- Architectures and systems for AI and IoV convergence -- IoV with Machine Learning and Artificial Immune System technologies -- AI and IoV applications -- AI enabled IoV systems -- Performance Evaluation of Deep Learning and IoV-related mechanisms -- Conclusion.

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.

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