Titlebook: Computational and Statistical Methods in Intelligent Systems; Radek Silhavy,Petr Silhavy,Zdenka Prokopova Conference proceedings 2019 Spri

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书目名称Computational and Statistical Methods in Intelligent Systems影响因子(影响力)




书目名称Computational and Statistical Methods in Intelligent Systems影响因子(影响力)学科排名




书目名称Computational and Statistical Methods in Intelligent Systems网络公开度




书目名称Computational and Statistical Methods in Intelligent Systems网络公开度学科排名




书目名称Computational and Statistical Methods in Intelligent Systems被引频次




书目名称Computational and Statistical Methods in Intelligent Systems被引频次学科排名




书目名称Computational and Statistical Methods in Intelligent Systems年度引用




书目名称Computational and Statistical Methods in Intelligent Systems年度引用学科排名




书目名称Computational and Statistical Methods in Intelligent Systems读者反馈




书目名称Computational and Statistical Methods in Intelligent Systems读者反馈学科排名

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/c/image/233258.jpg

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https://doi.org/10.1007/978-3-030-47091-3 to construct a complete ubiquitous environment, but still it is not meant for offering massive connectivity with large number of heterogeneous sensors. This problem gives rise to scalability issue that is yet an open-end problem. Therefore, this paper introduces a unique approach of improving the a

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https://doi.org/10.1007/978-3-030-47091-3achine learning methods are helpful in software defect prediction, even though with the challenge of imbalanced software defect distribution, such that the non-defect modules are much higher than defective modules. In this paper we introduce an enhancement for the most resent hybrid SMOTE-Ensemble a

悠然

https://doi.org/10.1007/978-3-030-47091-3ree element based steering antenna can offer the significant improvement in the performance with respect to bit error rate (BER) and provides the extra diversity gain without altering the radio frequency (RF) of front end circuits. This system uses a channel estimator i.e., mean square error (MSer)

Excitotoxin

Synchronization in Time-Varying Networks,y methods and techniques, which are of a low efficiency in conditions of theme uncertainty..Within this paper, a novel approach to the potentially hazardous text identification under theme uncertainty is presented. The main idea of data processing approach proposed is based on the user and automatic

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PATRI

Chains of Coupled Limit-Cycle Oscillatorsch data. In favor of these applications or for purposes of a reduction of a computational complexity, modifications of established approaches can be advantageous. In this paper, a statistical approach to practical providing hypotheses testing with two categorical variables is simplified. This presen