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Titlebook: Cognitive Computing and Information Processing; Third International T.N. Nagabhushan,V. N. Manjunath Aradhya,Chayadevi Conference proceedi

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楼主: Tamoxifen
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An Empirical Analysis of Machine Learning Classifiers for Clinical Decision Making in Asthmatraining sizes. The various performance metrics evaluated for the system including precision, recall, F1-measure and classification accuracy indicate good results. The study can be used as a guideline for the effective application of knowledge discovery techniques on clinical data in order to explore hidden knowledge representations.
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Improved Directionally Driven Self-regulating Particle Swarm OptimizerThese results are compared with eight PSO variants including DD-SRPSO. The results indicate that the proposed method improves results on some of the benchmark functions and gives comparable results for others.
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Inter Intensity and Color Channel Co-occurrence Histogram for Color Texture Classification sufficiently robust and precise to distinguish images of different textures even if the sample size is small. The results suggest that the proposed color texture descriptors have the potential for use in real-world applications involving recognition of patterns in digital images.
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Analysis of Breast Thermal Images Using Anisotropic Diffusion Filter Based Modified Level Sets and E high degree of correlation against the ground truth images. Accuracy of the segmented results is found to be 98%. Asymmetry analysis using TBD method shows that the features are capable of discriminating the change in structural information which is caused by varied metabolic conditions. Finally, m
发表于 2025-3-26 09:32:26 | 显示全部楼层
A Heuristic Approach to Automatically Segment Signal from Background in DNA Microarray Imageso the proposed method to efficiently segment the foreground signals from the background in existence of undetermined or unwanted pixel values, and inadequately articulated spots in DNA microarray images. Experimental results and analysis of proposed methods shows promising results when compared with
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