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Rui Zhou and Xianghong Xu
The significant increase in the speed of high-speed trains has made the optimization of pantograph?catenary parameters aimed at improving current collection quality become one of the key issues that urgently need to be addressed. In this paper, a method ...
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Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
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Jing Kai Sim, Kaichao William Xu, Yuyang Jin, Zhi Yu Lee, Yi Jie Teo, Pallavi Mohan, Lihui Huang, Yuan Xie, Siyi Li, Nanying Liang, Qi Cao, Simon See, Ingrid Winkler and Yiyu Cai
An up-and-coming concept that seeks to transform how students learn about and study complex systems, as well as how industrial workers are trained, metaverse technology is characterized in this context by its use in virtual simulation and analysis. In th...
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Nuria Castilla, Vicente Blanca-Giménez, Carlos Pérez-Carramiñana and Carmen Llinares
Sustainable development and energy savings are crucial to the significant worldwide trend in smart city-related research and projects. In this regard, public lighting systems have great energy-saving potential. Nevertheless, while citizen engagement is a...
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Gaoan Zheng, Pu Xu, Lin Li and Xinghua Fan
The pipeline system is widely used in marine engineering, and the formation mechanism and flow patterns of two-phase slug flows are of great significance for the optimal design of and vibration prevention in a complex pipeline system. Aiming at the above...
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