Energy-efficient initial deployment and ML-based postdeployment strategy for UAV network...

Cooperative UAV resource allocation and task offloading in hierarchical aerial computing systems: A MAPPO-based approach

H Kang, X Chang, J Mišić, VB Mišić… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article investigates a hierarchical aerial computing system, where both high-altitude
platforms (HAPs) and unmanned aerial vehicles (UAVs) provision computation services for …
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[PDF] researchgate.net

An Integrated Collaborative Filtering Framework With Location-Aware Graph Embedding in Intelligent Internet of Things Systems

Y Sun, W Tan, L Huang, N **e, L Ruan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Reliable Internet of Things (IoT) service discovery is a significant task in intelligent service-
oriented IoT systems. Collaborative filtering (CF) turns out to be an effective solution to IoT …
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Deployment for NOMA-UAV base stations based on hybrid sparrow search algorithm

J Chen, X Li, J Xu, Y Wang - IEEE Transactions on Aerospace …, 2023 - ieeexplore.ieee.org
Auxiliary UAV base stations are expected to be the most promising schemes to fill the
resource shortage and the blind spot of coverage of the ground base stations in the future …
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AI-Based UAVs 3D Coverage Deployment in 6G-Enabled IoV Networks for Industry 5.0

P Du, T **ao, H Cao, D Zhai… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) has been widely deployed for the emergency
communication recovery in 6G-enabled internet of vehicles (IoV) networks for Industry 5.0 …
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[PDF] ieee.org

A high-fall scene reconstruction method based on prominence calculation

M Guo, H Wang, M Gao, HB Du - IEEE Access, 2024 - ieeexplore.ieee.org
A novel method is proposed for reconstructing high-fall scenes in complex urban
environments based on prominence maximization, addressing the limitations of traditional …
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