UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning
In this paper, we investigate an unmanned aerial vehicle (UAV)-assistant air-to-ground
communication system, where multiple UAVs form a UAV-enabled virtual antenna array …
communication system, where multiple UAVs form a UAV-enabled virtual antenna array …
[HTML][HTML] DTPBFT: A dynamic and highly trusted blockchain consensus algorithm for UAV swarm
P Han, X Wu, A Sui - Computer Networks, 2024 - Elsevier
With the continuous development of UAV technology, the application of UAV swarm in the
military field is gradually becoming the focus of research around the world. Although it can …
military field is gradually becoming the focus of research around the world. Although it can …
Research on semi-supervised soft sensor modeling method for sulfur recovery unit based on ISSA-VMD-ESN
Q Wang, L Li - Chemical Engineering Science, 2024 - Elsevier
Sulfur recovery unit (SRU) in the refining industry can effectively reduce sulfide emissions
and achieve efficient use of resources. Predicting sulfide emissions with soft sensors can …
and achieve efficient use of resources. Predicting sulfide emissions with soft sensors can …
Survey of Graph Neural Network for Internet of Things and NextG Networks
SK Moorthy, J Jagannath - arXiv preprint arXiv:2405.17309, 2024 - arxiv.org
The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing
towards higher data rates and connected devices has sparked a surge in data …
towards higher data rates and connected devices has sparked a surge in data …