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Link traffic speed forecasting using convolutional attention-based gated recurrent unit

Research article (Applied Intelligence, 2020) · cited 40× · AI/ML
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Link traffic speed forecasting using convolutional attention-based gated recurrent unit

Summary

Link traffic speed forecasting using convolutional attention-based gated recurrent unit is a scholarly article[1].

Key Facts

  • Link traffic speed forecasting using convolutional attention-based gated recurrent unit's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Link traffic speed forecasting using convolutional attention-based gated recurrent unit. Retrieved May 24, 2026, from https://4ort.xyz/entity/link-traffic-speed-forecasting-using-convolutional-attention-based-gated-recurrent-unit
MLA “Link traffic speed forecasting using convolutional attention-based gated recurrent unit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/link-traffic-speed-forecasting-using-convolutional-attention-based-gated-recurrent-unit.
BibTeX @misc{4ortxyz_link-traffic-speed-forecasting-using-convolutional-attention-based-gated-recurrent-unit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Link traffic speed forecasting using convolutional attention-based gated recurrent unit}}, year = {2026}, url = {https://4ort.xyz/entity/link-traffic-speed-forecasting-using-convolutional-attention-based-gated-recurrent-unit}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Link traffic speed forecasting using convolutional attention-based gated recurrent unit — https://4ort.xyz/entity/link-traffic-speed-forecasting-using-convolutional-attention-based-gated-recurrent-unit (retrieved 2026-05-24)

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