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Detection of drowsiness based on HOG features and SVM classifiers
Research article (2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2015) · cited 63× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Detection of drowsiness based on HOG features and SVM classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-drowsiness-based-on-hog-features-and-svm-classifiers
MLA“Detection of drowsiness based on HOG features and SVM classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-drowsiness-based-on-hog-features-and-svm-classifiers.
BibTeX@misc{4ortxyz_detection-of-drowsiness-based-on-hog-features-and-svm-classifiers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of drowsiness based on HOG features and SVM classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-drowsiness-based-on-hog-features-and-svm-classifiers}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of drowsiness based on HOG features and SVM classifiers — https://4ort.xyz/entity/detection-of-drowsiness-based-on-hog-features-and-svm-classifiers (retrieved 2026-05-24)