Intelligent technologies for Internet of vehicles /

Intelligent technologies for Internet of vehicles /

Saved in:

Bibliographic Details
Imprint:	Cham : Springer, [2021] ©2021
Description:	1 online resource : illustrations (some color).
Language:	English
Series:	Internet of things- technology, communications and computing, 2199-1073 Internet of things.
Subject:	Internet of things. Artificial intelligence. Automobiles -- Technological innovations. Intelligent transportation systems. Artificial intelligence. Automobiles -- Technological innovations. Intelligent transportation systems. Internet of things. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12614166

Hidden Bibliographic Details
Other authors / contributors:	Magaia, Naercio, editor. Mastorakis, George, 1978- editor. Mavromoustakis, Constandinos X., 1974- editor. Pallis, Evangelos, 1971- editor. Markakis, Evangelos K., editor.
ISBN:	9783030764937 3030764931 9783030764920 3030764923
Notes:	Online resource; title from PDF title page (SpringerLink, viewed June 21, 2021).
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.
Other form:	Original 3030764923 9783030764920
Standard no.:	10.1007/978-3-030-76493-7

Table of 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.