Titlebook: Computational Collective Intelligence; 9th International Co Ngoc Thanh Nguyen,George A. Papadopoulos,Gottfried Conference proceedings 2017

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Structure of the Autonomic Nervous Systemntermediate and advanced. First, we propose parametrization of our model for different groups, and next we test certain characteristics of motion for different populations of skiers. We have found that by introducing diverse populations with different behavioral patterns, we obtain a much more reali

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Mark Z. Griffiths,Paul L. A. PopelierThe objective of the proposed attack is to indicate the last encryption subkey, used in the sixth cipher round, which makes it possible to define 48 from 56 primary key bits. The remaining 8 bits may be guessed by executing a brute-force attack. An additional heuristic negation operator was introduc

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Kim E. Wells,John S. Cordingleyegister data only at time of events, while in case of medical data full records for long time periods are usually needed. The precision of acquired data and the amount of data sent by sensor-equipped IoT devices has vital impact on lifetime of these devices. In case of solutions, where multiple sens

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Composition and Design of , Eggshells,s in parallel, thus providing insight into disease subtypes and gene functions. Gene expression data obtained from microarray chips are typified by few samples and a large number of genes. Supervised classifiers such as support vector machines (SVM) have been deployed for prediction task. However, i

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Pierre Douzou,Gaston Hui Bon Hoadynamic structure. In previous papers, different fusion methods were applied in this system. The novelty of this paper is to examine an approach in which many different fusion methods from the rank or from the measurement level are used simultaneously in one decision-making process. The obtained res

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L. Fei,M. Szymula,S. E. Friberg,P. A. Aikensld easily by transformed into any other domain. The article presents the description of the . software with rules clustering and visualization implementation. The rules are clustered by using hierarchical clustering algorithm and the resulting groups are visualized using the tree maps method. The ai

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F. Bagusat,O. Seidel,H. -J. M?gele a novel computer user identity verification method based on keystroke dynamics and knuckle images analysis is introduced. In the proposed solution the user verification is performed by means of classification. The introduced approach was tested experimentally using a database which comprises of ke

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