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Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
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Yang Shi, Zhenbo Wang, Tim J. LaClair, Chieh (Ross) Wang, Yunli Shao and Jinghui Yuan
The advent of connected vehicle (CV) technology offers new possibilities for a revolution in future transportation systems. With the availability of real-time traffic data from CVs, it is possible to more effectively optimize traffic signals to reduce co...
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Wieger Tiddens, Jan Braaksma and Tiedo Tinga
Many asset owners and maintainers have the ambition to better predict the future state of their equipment to make timely and better-informed maintenance decisions. Although many methods to support high-level maintenance policy selection are available, pr...
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João Pedro Vitorino, José Simão, Nuno Datia and Matilde Pato
This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for ?Smart Infrastructure? scenarios, on a case-by-case basis. The architectural framework identifies the common components that any s...
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Shuanghu Qiao, Baojian Song, Yunsheng Fan and Guofeng Wang
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors. To addre...
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