Special Session on Complementary Aspects of Artificial Intelligence, Unmanned Aerial Vehicles, and Future Wireless Networks
Special session organizer: Dr. Zaharias Zaharis, Chair of Electron Devices / Microwave Theory and Techniques / Antennas and Propagation Joint Chapter, IEEE Greece Section
Artificial intelligence (AI) has the potential to revolutionize many fields, including the operation and management of unmanned aerial vehicles (UAVs). With AI, UAVs can be equipped with intelligent decision-making capabilities, allowing them to adapt to changing environments and make autonomous decisions. This can improve their efficiency and reliability, as well as reduce the workload on human operators. In addition, the use of AI in UAVs can facilitate the development of new applications, such as autonomous search and rescue missions or precision agriculture. In the future, the integration of AI with next-generation wireless networks, such as 5G and beyond, could further enhance the capabilities of UAVs. These networks will provide higher data rates, lower latencies, and greater reliability, enabling UAVs to process and transmit large amounts of data in real-time, enabling new levels of autonomy and intelligence. Overall, the complementary aspects of AI, UAVs, and future wireless networks (FWNs) hold great promise for a wide range of applications and industries.
Date and Time
Location
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Registration
- Date: 28 Jun 2023
- Time: 04:30 PM to 06:30 PM
- All times are (UTC+03:00) Athens
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- L. Alexandras 196
- Athens, Attiki
- Greece
- Building: Conference Center of University of West Attica
- Room Number: B2
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- Co-sponsored by IEEE Greece Section
Agenda
16:30 - 16:50 --- Service recommendation for a group of users on the internet of things using the most popular service
16:50 - 17:10 --- The human blockage impact on ARIS assisted D2D communication systems
17:10 - 17:30 --- DOA estimation for 6G communication systems
17:30 - 17:50 --- 3D adaptive beamforming approach with a fine-tuned deep neural network
17:50 - 18:10 --- A review of deep learning solutions in 360° video streaming
18:10 - 18:30 --- FDTD modeling of graphene-based materials and its application in sensing devices