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EBX01000000000000001157195 |
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00000000000000.0 |
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| 008 |
210702 ||| eng |
| 020 |
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|a 9783030764937
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| 100 |
1 |
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|a Magaia, Naercio
|e [editor]
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| 245 |
0 |
0 |
|a Intelligent Technologies for Internet of Vehicles
|h Elektronische Ressource
|c edited by Naercio Magaia, George Mastorakis, Constandinos Mavromoustakis, Evangelos Pallis, Evangelos K. Markakis
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a XV, 511 p. 183 illus., 132 illus. in color
|b online resource
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| 505 |
0 |
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|a 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
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| 653 |
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|a Transportation engineering
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| 653 |
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|a Traffic engineering
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Technological innovations
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| 653 |
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|a Innovation and Technology Management
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| 653 |
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|a Telecommunication
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Transportation Technology and Traffic Engineering
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| 653 |
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|a Cyber-Physical Systems
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| 653 |
|
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|a Communications Engineering, Networks
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| 653 |
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|a Cooperating objects (Computer systems)
|
| 700 |
1 |
|
|a Mastorakis, George
|e [editor]
|
| 700 |
1 |
|
|a Mavromoustakis, Constandinos
|e [editor]
|
| 700 |
1 |
|
|a Pallis, Evangelos
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Internet of Things, Technology, Communications and Computing
|
| 028 |
5 |
0 |
|a 10.1007/978-3-030-76493-7
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-76493-7?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 621.38
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| 520 |
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|a 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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