Intelligent Technologies for Internet of Vehicles / edited by Naercio Magaia, George Mastorakis, Constandinos Mavromoustakis, Evangelos Pallis, Evangelos K. Markakis.

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.