The Monthly Newsletter of IEEE Vehicular Technology Society—October 2023

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From the IEEE Open Journal of Vehicular Technology
AI for UAVs
Siva Sai, Akshat Garg, Kartik Jhawar, Vinay Chamola, and Biplab Sikdar

Full title—A Comprehensive Survey on Artificial Intelligence for Unmanned Aerial Vehicles

Artificial Intelligence (AI) is an emerging technology that finds its application in various industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous growth in the field of UAVs by improving flight safety and efficiency. Machine learning algorithms can enable UAVs to make real-time decisions in complex environments and reach the optimal solution that aims to fulfill a mission's requirements within the hardware constraints such as battery and payload.

Several recent works in UAVs employed a variety of machine learning algorithms to enhance the capabilities of UAVs and assist them. Although several reviews have been published examining the various aspects of AI for UAVs, they all pertain to particular applications or technologies.

Full Article: IEEE Open Journal of Vehicular Technology, September 2023

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In This Issue
Message from the EiC
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Society
Introducing the VTS PC
Introducing the VTS-RFID Council Liaison Role
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Mobile Radio
Use Cases for RIS
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Transportation Systems
New-Generation Trains in Taiwan
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Connected and Automated Vehicles
Is 6G the Last G?
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From the IEEE Open Journal of Vehicular Technology
AI for UAVs
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From the IEEE Transactions on Vehicular Technology
Adaptive Routing Design for FANETs
Semantic Communication Framework for the Metaverse
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Editor-in-Chief

F. Richard Yu

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