Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms

Research article (Journal of Medical Systems, 2019) · cited 11× · AI/ML
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Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms

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Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/extract-features-from-periocular-region-to-identify-the-age-using-machine-learning-algorithms
MLA “Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extract-features-from-periocular-region-to-identify-the-age-using-machine-learning-algorithms.
BibTeX @misc{4ortxyz_extract-features-from-periocular-region-to-identify-the-age-using-machine-learning-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/extract-features-from-periocular-region-to-identify-the-age-using-machine-learning-algorithms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms — https://4ort.xyz/entity/extract-features-from-periocular-region-to-identify-the-age-using-machine-learning-algorithms (retrieved 2026-05-24)

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