Random forest–based feature selection and detection method for drunk driving recognition

Research article (International Journal of Distributed Sensor Networks, 2020) · cited 41× · AI/ML
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Random forest–based feature selection and detection method for drunk driving recognition

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Random forest–based feature selection and detection method for drunk driving recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Random forest–based feature selection and detection method for drunk driving recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/random-forestbased-feature-selection-and-detection-method-for-drunk-driving-recognition
MLA “Random forest–based feature selection and detection method for drunk driving recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/random-forestbased-feature-selection-and-detection-method-for-drunk-driving-recognition.
BibTeX @misc{4ortxyz_random-forestbased-feature-selection-and-detection-method-for-drunk-driving-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Random forest–based feature selection and detection method for drunk driving recognition}}, year = {2026}, url = {https://4ort.xyz/entity/random-forestbased-feature-selection-and-detection-method-for-drunk-driving-recognition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Random forest–based feature selection and detection method for drunk driving recognition — https://4ort.xyz/entity/random-forestbased-feature-selection-and-detection-method-for-drunk-driving-recognition (retrieved 2026-05-24)

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