评估 发表于 2025-3-21 16:37:51

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作呕 发表于 2025-3-21 20:54:12

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傲慢人 发表于 2025-3-22 02:37:26

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饮料 发表于 2025-3-22 06:01:58

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SPALL 发表于 2025-3-22 11:07:37

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抱狗不敢前 发表于 2025-3-22 15:54:49

Parallel Box-Counting Method for Evaluating the Fractal Dimension of Analytically Defined Curvesgments with a billion boxes (box size is .). The graphs depicting an increase in acceleration of parallel code performance with decreasing the box size and increasing the number of curve segments are shown. It is concluded that the efficiency of using the GPU begins with three million boxes and grow

negotiable 发表于 2025-3-22 17:05:35

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SEEK 发表于 2025-3-22 22:30:53

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可互换 发表于 2025-3-23 03:27:45

alyze the evaluation performance using various metrics such as accuracy, loss, and f1 score. The proposed work recorded 100, 90, and 88.23% accuracy for training, validation, and test sets, respectively. The f1 score for the test set is estimated at 87.78% with a 0.50 logloss score.

亲爱 发表于 2025-3-23 08:44:42

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查看完整版本: Titlebook: Supercomputing; 6th Russian Supercom Vladimir Voevodin,Sergey Sobolev Conference proceedings 2020 Springer Nature Switzerland AG 2020 cloud