[HTML][HTML] Secure learning-based coordinated UAV–UGV framework design for medical waste transportation
DD Sharma, J Lin - Frontiers in Remote Sensing, 2024 - frontiersin.org
A cost-effective solution with less human involvement must be developed for medical waste
(MW) transportation. A learning-based coordinated unmanned aerial vehicle–unmanned …
(MW) transportation. A learning-based coordinated unmanned aerial vehicle–unmanned …
A secure data collection strategy using mobile vehicles joint UAVs in smart city
Recruiting mobile vehicles (MVs) has been proved as an effective and low-cost strategy to
collect data from sensing devices (SDs) in the smart city. However, few works consider data …
collect data from sensing devices (SDs) in the smart city. However, few works consider data …
Autonomous drones for medical assistance using reinforcement learning
In recent years, usage of the unmanned aerial vehicle in various fields has developed
rapidly. Drones have the potential to be reliable medical delivery platforms for …
rapidly. Drones have the potential to be reliable medical delivery platforms for …
Game combined multi-agent reinforcement learning approach for UAV assisted offloading
Air ground integrated mobile cloud computing (MCC) provides unmanned aerial vehicles
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …
A security optimization scheme for data security transmission in UAV-assisted edge networks based on federal learning
H Zhang, J Xue, Q Wang, Y Li - Ad Hoc Networks, 2023 - Elsevier
To solve the problem that mobile users cannot handle all data tasks by themselves due to
the huge amount of data at present, this paper proposes a four-layer model of efficient and …
the huge amount of data at present, this paper proposes a four-layer model of efficient and …
An enhanced evolutionary scheme for obstacle-aware data gathering in uav-assisted wsns
The intelligent collaboration of Unmanned Aerial Vehicles (UAV) and Wireless Sensor
Networks (WSN) can bring about increased data collection efficiency and overall network …
Networks (WSN) can bring about increased data collection efficiency and overall network …
Deep Reinforcement Learning-Based Multirestricted Dynamic-Request Transportation Framework
E Akin - IEEE Transactions on Neural Networks and Learning …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are used in many areas where their usage is increasing
constantly. Their popularity, therefore, maintains its importance in the technology world …
constantly. Their popularity, therefore, maintains its importance in the technology world …
[HTML][HTML] A reinforcement learning model of multiple UAVs for transporting emergency relief supplies
D Hachiya, E Mas, S Koshimura - Applied Sciences, 2022 - mdpi.com
In large-scale disasters, such as earthquakes and tsunamis, quick and sufficient
transportation of emergency relief supplies is required. Logistics activities conducted to …
transportation of emergency relief supplies is required. Logistics activities conducted to …
Deep Reinforcement Learning Based UAV Trajectory Design for Data Collection Scenario with No-Fly Zones
Y Gao, M Liu, Z Mei, Y Hu - 2022 IEEE 8th International …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV)-assisted communication system has been
introduced as a promising paradigm for the future space-aerial-terrestrial integrated …
introduced as a promising paradigm for the future space-aerial-terrestrial integrated …
6G-Assisted UAV-Truck Networks: Toward Efficient Essential Services Delivery
Energy consumption is a critical constraint for Unmanned Aerial Vehicles (UAVs) delivery
operations to achieve their full potential of providing fast delivery, reducing cost, and cutting …
operations to achieve their full potential of providing fast delivery, reducing cost, and cutting …