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3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit

Research article (IEEE Access, 2019) · cited 21× · AI/ML
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3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit

Summary

3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit is a scholarly article[1].

Key Facts

  • 3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit'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). 3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit. Retrieved May 24, 2026, from https://4ort.xyz/entity/3dcnn-based-real-time-driver-fatigue-behavior-detection-in-urban-rail-transit
MLA “3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3dcnn-based-real-time-driver-fatigue-behavior-detection-in-urban-rail-transit.
BibTeX @misc{4ortxyz_3dcnn-based-real-time-driver-fatigue-behavior-detection-in-urban-rail-transit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit}}, year = {2026}, url = {https://4ort.xyz/entity/3dcnn-based-real-time-driver-fatigue-behavior-detection-in-urban-rail-transit}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit — https://4ort.xyz/entity/3dcnn-based-real-time-driver-fatigue-behavior-detection-in-urban-rail-transit (retrieved 2026-05-24)

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