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Intelligent Technologies for Internet of Vehicles / edited by Naercio Magaia, George Mastorakis, Constandinos Mavromoustakis, Evangelos Pallis, Evangelos K. Markakis.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Internet of Things, Technology, Communications and Computing, 2199-1081
- Language:
- English
- Subjects (All):
- Cooperating objects (Computer systems).
- Telecommunication.
- Transportation engineering.
- Traffic engineering.
- Artificial intelligence.
- Technological innovations.
- Cyber-Physical Systems.
- Communications Engineering, Networks.
- Transportation Technology and Traffic Engineering.
- Artificial Intelligence.
- Innovation and Technology Management.
- Local Subjects:
- Cyber-Physical Systems.
- Communications Engineering, Networks.
- Transportation Technology and Traffic Engineering.
- Artificial Intelligence.
- Innovation and Technology Management.
- Physical Description:
- 1 online resource (XV, 511 pages) : 183 illustrations, 132 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-76493-7
- 9783030764937
- Access Restriction:
- Restricted for use by site license.
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