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pro vyhledávání: '"Wu, Changxu"'
Knowledge graphs have garnered significant research attention and are widely used to enhance downstream applications. However, most current studies mainly focus on static knowledge graphs, whose facts do not change with time, and disregard their dyna
Externí odkaz:
http://arxiv.org/abs/2403.04782
Temporal knowledge graph completion (TKGC) aims to fill in missing facts within a given temporal knowledge graph at a specific time. Existing methods, operating in real or complex spaces, have demonstrated promising performance in this task. This pap
Externí odkaz:
http://arxiv.org/abs/2403.02355
Entity alignment (EA) aims to find the equivalent entity pairs between different knowledge graphs (KGs), which is crucial to promote knowledge fusion. With the wide use of temporal knowledge graphs (TKGs), time-aware EA (TEA) methods appear to enhanc
Externí odkaz:
http://arxiv.org/abs/2307.06013
Purpose Speed estimation of drivers' own vehicles and other vehicles on the road is an important task for drivers and is also crucial to the roadway safety. The objective of the study was to examine the effects of multiple factors such as image scale
Externí odkaz:
http://hdl.handle.net/10150/626067
http://arizona.openrepository.com/arizona/handle/10150/626067
http://arizona.openrepository.com/arizona/handle/10150/626067
Publikováno v:
PLoS ONE. 6/5/2024, Vol. 19 Issue 6, p1-21. 21p.
Autor:
Chai, Chunlei, Lei, Yu, Wei, Haoran, Wu, Changxu, Zhang, Wei, Hansen, Preben, Fan, Hao, Shi, Jinlei
Publikováno v:
In Applied Ergonomics July 2024 118
Publikováno v:
In International Journal of Industrial Ergonomics May 2024 101
Publikováno v:
In Geoenergy Science and Engineering January 2024 232 Part A
Currently, studying the vehicle-human interactive behavior in the emergency needs a large amount of datasets in the actual emergent situations that are almost unavailable. Existing public data sources on autonomous vehicles (AVs) mainly focus either
Externí odkaz:
http://arxiv.org/abs/2003.02059
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