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

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Michael S. Pepper,Georgios Lolasxperimentation, a publicly available dataset i.e. PhysioNet consisting data of 109 users while performing one minute EO and EC activity has been used. A notable activity recognition rate of 86.08% has been recorded using gamma band feature. The paper further proposes that the system can be used as a

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Selected Topics in Clinical Oncology 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

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Selected Topics in Complex Analysiso 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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https://doi.org/10.1007/978-3-540-73188-7 and spiculated structures are retained by considering the diameter of components under observation. The algorithms are tested against 15 cases each having an average of 250 slices, obtained from LIDC.

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Chiral anomalies and differential geometry, oceanic wave data prediction problem. It is compared with MLP, SAFIS, and its predecessor McIT2FIS. The results indicate that significant learning is possible utilising a smaller sample of incoming data, improving learning time.

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