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Titlebook: Computational Intelligence, Cyber Security and Computational Models; Proceedings of ICC3, G. Sai Sundara Krishnan,R. Anitha,Manuel Graña Co

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,Methodik für strategische PR-Evaluation,n-availability of fault data which makes the application of supervised technique difficult. In such cases, unsupervised techniques are helpful. In this paper, a hyper-quadtree-based K-means algorithm has been applied for predicting the faults in the program module. This paper contains two parts. Fir
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PR-Evaluation in Wissenschaft und Praxis,ain attraction as an imaging modality lies in its non-invasive characteristic and ability to distinguish interfaces between soft tissues. Diagnostic ultrasound can be used to find out the cyst and tumors in the abdominal organs. Considering the importance of measurement of volume of the urinary blad
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https://doi.org/10.1007/978-3-322-97685-7ls from large amount of genes. Classification is also a major issue in data mining. The classification difficulties in medical area often classify medical dataset based on the outcomes of medical analysis or report of medical action by the medical practitioner. In this study, a prediction model is p
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https://doi.org/10.1007/978-3-322-97685-7sing mammogram is a difficult task because of complexity in the image. This brings the necessity of creating automatic tools to find whether a tumor is present or not. In this paper, rough set theory (RST) is integrated with back-propagation network (BPN) to classify digital mammogram images. Basica
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G. Sai Sundara Krishnan,R. Anitha,Manuel GrañaProvides information on recent research trends in areas of computational intelligence, cyber security, and computational models.Includes theories and applications to provide design, analysis, and mode
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The Robber Strikes Backtex containing a single cop, then that cop is removed from the game. We study the minimum number of cops needed to capture a robber on a graph ., written cc(.). We give bounds on cc(.) in terms of the cop number of . in the classes of bipartite graphs and diameter two, ..,.-free graphs.
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