Directed 发表于 2025-4-1 03:55:50

https://doi.org/10.1007/978-3-8350-5404-2onally used as the most common causes affecting performance within the database which cannot be seen normally. The results enable us to use discovered characteristic or patterns in palpating student’s learning outcomes. These patterns can be useful for teachers to identify effective prognostication strategies for students.

过渡时期 发表于 2025-4-1 07:30:40

Crisis Management: the US Approachts towards affinity for pose variations and the proposed algorithm verdicts the rank 1 accuracy of 92.1 %, which demonstrates the strength of self learning even with single training face image of newborn.

梯田 发表于 2025-4-1 11:45:25

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胆小懦夫 发表于 2025-4-1 17:27:29

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exercise 发表于 2025-4-1 21:35:53

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听觉 发表于 2025-4-1 23:20:34

Pose Invariant Face Recognition for New Born: Machine Learning Approach,ts towards affinity for pose variations and the proposed algorithm verdicts the rank 1 accuracy of 92.1 %, which demonstrates the strength of self learning even with single training face image of newborn.

财产 发表于 2025-4-2 03:36:42

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沉积物 发表于 2025-4-2 10:25:40

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ABASH 发表于 2025-4-2 12:59:31

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Feckless 发表于 2025-4-2 16:40:29

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查看完整版本: Titlebook: Computational Intelligence in Data Mining—Volume 1; Proceedings of the I Himansu Sekhar Behera,Durga Prasad Mohapatra Conference proceeding