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...

وصف كامل

محفوظ في:

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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

كن أول من يترك تعليقا!

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas

مواد مشابهة