Titlebook: Computational Intelligence, Communications, and Business Analytics; Second International Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Kousik D

使激動

,Denkanst??e 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.

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責任

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

污點

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compel

poliosis

討好美人

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.

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