Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions
<p dir="ltr">Internet of Drones (IoD) is one of the promising technologies to enhance the performance of wireless networks. Deploying IoD to assist wireless networks, however, needs to address various design issues. Due to the highly dynamic nature of IoD networks, conventional metho...
محفوظ في:
| المؤلف الرئيسي: | Noor Aboueleneen (17984101) (author) |
|---|---|
| مؤلفون آخرون: | Abdulmalik Alwarafy (17984104) (author), Mohamed Abdallah (3073191) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Drone Detection with Improved Precision in Traditional Machine Learning and Less Complexity in Single Shot Detectors
حسب: Kassab, Mohamad
منشور في: (2024) -
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
حسب: Abdulmalik Alwarafy (17984104)
منشور في: (2022) -
Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study
حسب: De Rouchechouart, Maxence
منشور في: (2023) -
IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
حسب: Syeda Nazia Ashraf (17541222)
منشور في: (2023) -
On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review
حسب: Muhammad Asif Khan (7367468)
منشور في: (2022)