A survey on applications of unmanned aerial vehicles using machine learning

K Teixeira, G Miguel, HS Silva, F Madeiro - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: Leveraging shared drying characteristics across chemicals with limited …

S Bardeeniz, C Panjapornpon, C Fongsamut… - Applied Thermal …, 2024 - Elsevier
Efficient energy management is crucial for spray-drying units as it can substantially improve
product yield, reduce operating costs, and enhance energy utilization. However, due to …

[HTML][HTML] Unmanned Aerial Vehicle Path-Planning Method Based on Improved P-RRT* Algorithm

X Xu, F Zhang, Y Zhao - Electronics, 2023 - mdpi.com
This paper proposed an improved potential rapidly exploring random tree star (P-RRT*)
algorithm for unmanned aerial vehicles (UAV). The algorithm has faster expansion and …

[HTML][HTML] Violent video recognition by using sequential image collage

YS Tu, YS Shen, YY Chan, L Wang, J Chen - Sensors, 2024 - mdpi.com
Identifying violent activities is important for ensuring the safety of society. Although the
Transformer model contributes significantly to the field of behavior recognition, it often …

Improve exploration in deep reinforcement learning for UAV path planning using state and action entropy

H Lv, Y Chen, S Li, B Zhu, M Li - Measurement Science and …, 2024 - iopscience.iop.org
Despite being a widely adopted development framework for unmanned aerial vehicle (UAV),
deep reinforcement learning is often considered sample inefficient. Particularly, UAV …

Reinforcement learning in autonomous multi-vehicle systems: A structured review

F Merkle, G Blossey, S Haeussler… - Proceedings of the …, 2024 - dl.acm.org
Unmanned autonomous vehicles become increasingly important in various application
domains, such as manufacturing, logistics, communication, and the military. They are …

Energy Maximization for Wireless Powered Communication Enabled IoT Devices With NOMA Underlaying Solar Powered UAV Using Federated Reinforcement …

A Jabbari, H Khan, S Duraibi, I Budhiraja… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) depends primarily on low-cost wireless sensors with limited
energy capacity to allow pervasive monitoring and intelligent control. Nevertheless …

Aggregated Spatio-temporal MLP-Mixer for Violence Recognition in Video Clips

YS Shen, J Chen - … on Computer, Consumer and Control (IS3C …, 2023 - ieeexplore.ieee.org
Existing violent behavior datasets are not perfect in quantity and quality due to the difficulty
of collecting. Although the state-of-the-art Transformer models had shown their capability in …