Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
<p dir="ltr">Over the past decade, Unmanned Aerial Vehicles (UAVs) have attracted significant attention due to their potential applications in emergency-response applications, including wireless power transfer (WPT) and data collection from Internet of Things (IoT) devices in disaste...
محفوظ في:
| المؤلف الرئيسي: | Marwan Dhuheir (19170898) (author) |
|---|---|
| مؤلفون آخرون: | Aiman Erbad (14150589) (author), Ala Al-Fuqaha (4434340) (author), Abegaz Mohammed Seid (19170901) (author) |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms
حسب: Marwan Dhuheir (19170898)
منشور في: (2025) -
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
حسب: Mohammad Taghi Dabiri (16904658)
منشور في: (2023) -
Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model
حسب: Serag, Yousef
منشور في: (2025) -
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
حسب: Al Rayes, Zaid
منشور في: (2018) -
Long-Haul mmWave Sky Links: A Multi-Hop NFP-Based Design and Analysis
حسب: Abdullateef Almohamad (16870074)
منشور في: (2023)