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Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance

Research article (Sensors, 2023) · cited 29× · AI/ML
academia openalex:W4366217661
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Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance

Summary

Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance is a scholarly article[1].

Key Facts

  • Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance'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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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance. Retrieved May 24, 2026, from https://4ort.xyz/entity/driver-drowsiness-detection-a-machine-learning-approach-on-skin-conductance
MLA “Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/driver-drowsiness-detection-a-machine-learning-approach-on-skin-conductance.
BibTeX @misc{4ortxyz_driver-drowsiness-detection-a-machine-learning-approach-on-skin-conductance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance}}, year = {2026}, url = {https://4ort.xyz/entity/driver-drowsiness-detection-a-machine-learning-approach-on-skin-conductance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance — https://4ort.xyz/entity/driver-drowsiness-detection-a-machine-learning-approach-on-skin-conductance (retrieved 2026-05-24)

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