Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
AI for UAV-assisted IoT applications: A comprehensive review
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
UAV ad hoc network routing algorithms in space–air–ground integrated networks: Challenges and directions
Y Lu, W Wen, KK Igorevich, P Ren, H Zhang, Y Duan… - Drones, 2023 - mdpi.com
With the rapid development of 5G and 6G communications in recent years, there has been
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …
Joint resource allocation and trajectory optimization in UAV-enabled wirelessly powered MEC for large area
Y Zeng, S Chen, Y Cui, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article investigates a wirelessly powered mobile edge computing (MEC) framework with
the cooperation between an unmanned aerial vehicle (UAV) and a center Cloud. In this …
the cooperation between an unmanned aerial vehicle (UAV) and a center Cloud. In this …
A survey on applications of unmanned aerial vehicles using machine learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
[HTML][HTML] Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications
The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …
communication networks have been exponentially increasing in the system architectures of …
Knowledge-driven resource allocation for wireless networks: A WMMSE unrolled graph neural network approach
This article proposes a novel knowledge-driven approach for resource allocation in wireless
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …
Energy-efficiency optimization for multiple access in NOMA-enabled space–air–ground networks
Due to the flexible deployment of unmanned aerial vehicles (UAVs) and the wide-area
coverage of satellites, the space–air–ground (SAG) communication network can provide …
coverage of satellites, the space–air–ground (SAG) communication network can provide …
A collaborative path planning method for heterogeneous autonomous marine vehicles
J Zhang, Z Wang, G Han, Y Qian… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Intelligent control of autonomous marine vehicles (AMVs) is one of the essential
technologies for exploring marine resources. In the deep sea with a complicated exploration …
technologies for exploring marine resources. In the deep sea with a complicated exploration …
A survey of graph-based resource management in wireless networks-part ii: Learning approaches
This two-part survey provides a comprehensive review of graph optimization and learning
for resource management in wireless networks. In Part I, we introduced the fundamentals of …
for resource management in wireless networks. In Part I, we introduced the fundamentals of …
Drone Technology in the Context of the Internet of Things
Drones with integrated internet of things (IoT) technology now have a more comprehensive
range of potential uses, including those for surveillance, agriculture, search and rescue, and …
range of potential uses, including those for surveillance, agriculture, search and rescue, and …