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Titlebook: Cognition and Recognition; 8th International Co D. S. Guru,Sharath Kumar Y. H.,Manabu Ichino Conference proceedings 2022 The Editor(s) (if

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Automated Classification of Wheat Varieties Using Soft Computing Techniques,iers are trained using morphological features derived from the singleton wheat kernel images. The k-NN, BPNN, and SVM classifiers have yielded the classification efficiencies of 94.23%, 90.35% and 83.57%, respectively.
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https://doi.org/10.1007/978-3-658-02252-5ting veins. Vein structure for each human is different and unique. Detection of the vein pattern for many applications will be the key. So, the detection is of high priority and next comes the processing.
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https://doi.org/10.1007/978-3-642-50231-6is used to advance precision in discovery of breast cancer. Methods are developed in the four phases like pre-processing, segmentation, feature mining and classifications. SVM and KNN algorithms are used in the classification of breast cancer.
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A Review on Detection of Vein Pattern in Human Body for the Biometric Applications,ting veins. Vein structure for each human is different and unique. Detection of the vein pattern for many applications will be the key. So, the detection is of high priority and next comes the processing.
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An Automated CAD System for Classification of Lung Module,order statistics (FOS) and Second order statistics (SOS) and fed into classifiers like DS, RF and BPNN. The experimentation is conducted on LIDC-IDRI dataset and results outperforms well with BPNN when compare to other classifiers.
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