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...

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التفاصيل البيبلوغرافية
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:	Engineering Aerospace engineering Electrical engineering Information and computing sciences Artificial intelligence Distributed computing and systems software Machine learning Energy harvesting UAVs positions energy consumption meta-reinforcement learning UAVs strategic locations Internet of Things Autonomous aerial vehicles Optimization Data collection Energy consumption Trajectory Disasters
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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas

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