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Lin Mu, Haiwen Tu, Xiongfei Geng, Fangli Qiao, Zhihui Chen, Sen Jia, Ruifei Zhu, Tianyu Zhang and Zhi Chen
Annually, hundreds of individuals tragically lose their lives at sea due to shipwrecks or aircraft accidents. For search and rescue personnel, the task of locating the debris of a downed aircraft in the vastness of the ocean presents a formidable challen...
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Wen Tian, Xuefang Zhou, Jianan Yin, Yuchen Li and Yining Zhang
The complex layout of the airport surface, coupled with interrelated vehicle behaviors and densely mixed traffic flows, frequently leads to operational conflict risks. To address this issue, research was conducted on the recognition of characteristics an...
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Emilie Pietersoone, Jean Michel Létang, Simon Rit, Emmanuel Brun and Max Langer
X-ray phase-contrast imaging (XPCI) is a family of imaging techniques that makes contrast visible due to phase shifts in the sample. Phase-sensitive techniques can potentially be several orders of magnitude more sensitive than attenuation-based technique...
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Lucia Giuliano, Gaia Franciosini, Luigi Palumbo, Lilia Aggar, Marie Dutreix, Luigi Faillace, Vincent Favaudon, Giuseppe Felici, Federica Galante, Andrea Mostacci, Mauro Migliorati, Matteo Pacitti, Annalisa Patriarca and Sophie Heinrich
Purpose: The electron linac ElectronFlash installed at Institut Curie (Orsay, France) is entirely dedicated to FLASH irradiation for radiobiological and pre-clinical studies. The system was designed to deliver an ultra-high-dose rate per pulse (UHDR) (ab...
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Xingyu Wang, Ning Zhao and Chao Mi
The issue of unloading efficiency for containers is the operational bottleneck for most traditional container terminals. In addressing the intricate challenges of space allocation in container yards during ship unloading, this study focuses on the real-t...
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Kunfeng Lu, Ruiguang Hu, Zheng Yao and Huixia Wang
Trajectory planning and obstacle avoidance play essential roles in the cooperative flight of multiple unmanned aerial vehicles (UAVs). In this paper, a unified framework for onboard distributed trajectory planning is proposed, which takes full advantage ...
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Naifeng Wen, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan and Dian Jiao
This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the Interna...
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Zheng Han, Ming Li, Yange Li, Mingyue Zhao, Changli Li, Wendu Xie, Haohui Ding and Yangfan Ma
Recent studies have indicated that the accurate simulation of debris flows depends not only on the selection of numerical models but also on the availability of precise data on the initial source location and depth. Unfortunately, it is currently difficu...
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Junfang Fan, Denghui Dou and Yi Ji
In this study, two different impact-angle-constrained guidance and control strategies using deep reinforcement learning (DRL) are proposed. The proposed strategies are based on the dual-loop and integrated guidance and control types. To address comprehen...
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Zhixuan Pan, Jia Liu, Jing Liu, Xiaoge Ning, Zheng Qin and Lulu He
With the development of offshore wind power (OWP)-based hydrogen production technology, hydrogen fuel cells play a critical role in buffering the mismatch between energy supply and demand in OWP systems. Benefitting from high efficiency, cleanliness, and...
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