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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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书目名称Cognitive Computing and Information Processing
副标题Third International
编辑T.N. Nagabhushan,V. N. Manjunath Aradhya,Chayadevi
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Cognitive Computing and Information Processing; Third International  T.N. Nagabhushan,V. N. Manjunath Aradhya,Chayadevi Conference proceedi
描述.This book constitutes the refereed proceedings of the Third International Conference on Cognitive Computing and Information Processing, CCIP 2017, held in Bengaluru, India, in December 2017.. The 43 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on cognitive computing in medical information processing; cognitive computing and its applications; cognitive computing in video analytics..
出版日期Conference proceedings 2018
关键词cognitive systems; quantum technology; swarm computing; deep learning; artificial intelligence; fuzzy sys
版次1
doihttps://doi.org/10.1007/978-981-10-9059-2
isbn_softcover978-981-10-9058-5
isbn_ebook978-981-10-9059-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Chiral anomalies and differential geometry, using traditional algorithms. This study investigates the convergence of swarm intelligent algorithms and compares them with performance metrics such as the pareto coverage, divergence rate, convergence time and cost for different sample networks.
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Swarm Intelligent Approaches for Solving Shortest Path Problems with Multiple Objectives using traditional algorithms. This study investigates the convergence of swarm intelligent algorithms and compares them with performance metrics such as the pareto coverage, divergence rate, convergence time and cost for different sample networks.
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Detection of Exudates Through Local Binary Pattern in Diabetic Retinopathybinary pattern (LBP) and classified using support vector machine (SVM). The proposed method is tested on DIARETDB0 and DIARETDB1, which are freely available datasets. The method is also evaluated on the hospital images. The average sensitivity, specificity and accuracy of 0.92, 0.82, and 0.95 respectively are obtained.
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Xuecheng Pang,Shahar Nevo,Lawrence Zalcman Dice index of 0.9057 ± 0.025, Jaccard Index of 0.8561 ± 0.029 and Accuracy 0.9864 ± 0.002. The execution time for each slice is approximately 2.5 s. Based on segmentation results and the evaluation time, the algorithm used can be considered as one of the desirable method for the extracting lung parenchyma in the CAD system.
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