使激动 发表于 2025-3-26 22:27:38

,Denkanstöße für Arbeitsgruppen,re. The experimental results show the effectiveness of ANN-SCG classifier. The ANN-SCG model provides 84.21% accuracy, 83.33% precision, 71.42% f-measure and 76.91% recall which is superior to the SVM and Ensemble classifiers.

groggy 发表于 2025-3-27 01:29:36

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责任 发表于 2025-3-27 06:10:25

Automatic Multiclass Classification of Foliar Leaf Diseases Using Statistical and Color Feature Extriven on the leaf. In this paper, image pre-processing methods like noise removal and contrast enhancement followed by colour space transformation and k-means clustering is used to segment affected parts of soybean leaves, after that both texture and colour features are extracted from segmented sampl

污点 发表于 2025-3-27 12:45:47

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exophthalmos 发表于 2025-3-27 16:05:11

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cajole 发表于 2025-3-27 18:09:12

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compel 发表于 2025-3-28 01:10:51

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poliosis 发表于 2025-3-28 05:41:46

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讨好美人 发表于 2025-3-28 09:24:19

Classification of Skin Cancer: ANN Trained with Scaled Conjugate Gradient Algorithmre. The experimental results show the effectiveness of ANN-SCG classifier. The ANN-SCG model provides 84.21% accuracy, 83.33% precision, 71.42% f-measure and 76.91% recall which is superior to the SVM and Ensemble classifiers.

的’ 发表于 2025-3-28 14:14:54

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查看完整版本: Titlebook: Computational Intelligence, Communications, and Business Analytics; Second International Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Kousik D